July 23, 2023 – July 29, 2023

Microsoft at ICML 2023

Hawaii Standard Time (UTC-10)

Lieu: Honolulu, Hawaii

Publications

Afficher par:

- Bandit Multi-linear DR-Submodular Maximization and Its Applications on Adversarial Submodular Bandits
  
  Zongqi Wan, Jialin Zhang, Wei Chen, Xiaoming Sun, Zhijie Zhang
  
  Proceedings of the 40th International Conference on Machine Learning (ICML) | July 2023
  
  PDF Preprint
- Bayesian Estimation of Differential Privacy
  
  Santiago Zanella-Béguelin, Lukas Wutschitz, Shruti Tople, Ahmed Salem, Victor Ruehle, Andrew Paverd, Mohammad Naseri, Boris Köpf, Daniel Jones
  
  2023 International Conference on Machine Learning | July 2023
  
  Rédacteur(s) en chef: Barbara Engelhardt, Emma Brunskill, Kyunghyun Cho
  
  Publication Projet
- BEATs: Audio Pre-Training with Acoustic Tokenizers
  
  Sanyuan Chen, Yu Wu, Chengyi Wang, Shujie Liu, Daniel Tompkins, Zhuo Chen, Furu Wei
  
  ICML 2023 | June 2023
  
  Publication
- CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling
  
  Yansen Wang, Kan Ren, Xinyang Jiang, Caihua Shan, Xufang Luo, Dongqi Han, Kaitao Song, Yifei Shen, Dongsheng Li
  
  ICML 2023 | August 2023
  
  Publication
- ClimaX: A foundation model for weather and climate
  
  Tung Nguyen, Johannes Brandstetter, Ashish Kapoor, Jayesh K. Gupta, Aditya Grover
  
  ICML 2023 | July 2023
  
  Preprint
- CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental Design
  
  Desi R. Ivanova, Joel Jennings, Tom Rainforth, Cheng Zhang, Adam Foster
  
  ICML 2023 | June 2023
  
  Publication Github
- Contextual Combinatorial Bandits with Probabilistically Triggered Arms
  
  Xutong Liu, Jinhang Zuo, Siwei Wang, John C.S. Lui, Mohammad Hajiesmaili, Adam Wierman, Wei Chen
  
  Proceedings of the 40th International Conference on Machine Learning (ICML) | July 2023
  
  PDF Preprint
- Differentiable Multi-Target Causal Bayesian Experimental Design
  
  Yashas Annadani, Panagiotis Tigas, Desi R. Ivanova, Andrew Jesson, Yarin Gal, Adam Foster, Stefan Bauer
  
  ICML 2023 | June 2023
  
  Publication
- Differentiable Tree Operations Promote Compositional Generalization
  
  Paul Soulos, Edward Hu, Kate McCurdy, Yunmo Chen, Roland Fernandez, Paul Smolensky, Jianfeng Gao
  
  ICML 2023 | June 2023
  
  Publication
- Differentially Private Episodic Reinforcement Learning with Heavy-tailed Rewards
  
  Yulian Wu, Xingyu Zhou, Sayak Ray Chowdhury, Di Wang
  
  ICML 2023 | June 2023
  
  Publication
- Fairness in Streaming Submodular Maximization over a Matroid Constraint
  
  Marwa El Halabi, Federico Fusco, Ashkan Norouzi-Fard, Jakab Tardos, Jakub Tarnawski
  
  ICML 2023 | June 2023
  
  Publication
- Forward-backward Gaussian variational inference via JKO in the Bures-Wasserstein Space
  
  Michael Diao, Krishnakumar Balasubramanian, Sinho Chewi, Adil Salim
  
  ICML 2023 | June 2023
  
  Publication
- Geometric Clifford Algebra Networks
  
  David Ruhe, Jayesh K. Gupta, Steven de Keninck, Max Welling, Johannes Brandstetter
  
  ICML 2023 | June 2023
  
  Publication
- Global Selection of Contrastive Batches via Optimization on Sample Permutations
  
  Vin Sachidananda, Ziyi Yang, Chenguang Zhu
  
  ICML 2023 | July 2023
  
  PDF Publication
- Hardness of Independent Learning and Sparse Equilibrium Computation in Markov Games
  
  Dylan Foster, Noah Golowich, Sham M. Kakade
  
  ICML 2023 | June 2023
  
  Publication
- Hindsight Learning for MDPs with Exogenous Inputs
  
  Sean R. Sinclair, Felipe Vieira Frujeri, Ching-An Cheng, Luke Marshall, Hugo Barbalho, Jingling Li, Jennifer Neville, Ishai Menache, Adith Swaminathan
  
  2023 International Conference on Machine Learning | July 2023
  
  Preprint Projet Projet
- HyperTuning: Toward Adapting Large Language Models without Back-propagation
  
  Jason Phang, Yi Mao, Pengcheng He, Weizhu Chen
  
  ICML 2023 | June 2023
  
  Publication
- Infinite Action Contextual Bandits with Reusable Data Exhaust
  
  Mark Rucker, Yinglun Zhu, Paul Mineiro
  
  ICML 2023 | June 2023
  
  Publication
- InfoOT: Information Maximizing Optimal Transport
  
  Ching-Yao Chuang, Stefanie Jegelka, David Alvarez-Melis
  
  ICML 2023 | May 2023
  
  Publication
- Learning Instance-Specific Augmentations by Capturing Local Invariances
  
  Ning Miao, Tom Rainforth, Emile Mathieu, Yann Dubois, Yee Whye Teh, Adam Foster, Hyunjik Kim
  
  ICML 2023 | June 2023
  
  Publication
- Less is More: Task-aware Layer-wise Distillation for Language Model Compression
  
  Chen Liang, Simiao Zuo, Qingru Zhang, Pengcheng He, Weizhu Chen, Tuo Zhao
  
  ICML 2023 | June 2023
  
  Publication
- LongCoder: A Long-Range Pre-trained Language Model for Code Completion
  
  Daya Guo, Canwen Xu, Nan Duan, Jian Yin, Julian McAuley
  
  ICML 2023 | June 2023
  
  Publication
- LoSparse: Structured Compression of Large Language Models based on Low-Rank and Sparse Approximation
  
  Yixiao Li, Yifan Yu, Qingru Zhang, Chen Liang, Pengcheng He, Weizhu Chen, Tuo Zhao
  
  ICLR 2023 | May 2023
  
  Publication
- Magneto: A Foundation Transformer
  
  Hongyu Wang, Shuming Ma, Shaohan Huang, Li Dong, Wenhui Wang, Zhiliang Peng, Yu Wu, Payal Bajaj, Saksham Singhal, Alon Benhaim, Barun Patra, Zhun Liu, Vishrav Chaudhary, Xia Song, Furu Wei
  
  ICML 2023 | June 2023
  
  Publication
- MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from Observations
  
  Anqi Li, Byron Boots, Ching-An Cheng
  
  ICML 2023 | June 2023
  
  Publication
- Meta Optimal Transport
  
  Brandon Amos, Samuel Cohen, Giulia Luise, Ievgen Redko
  
  ICML 2023 | June 2023
  
  Publication
- Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning
  
  Yu Yang, Besmira Nushi, Hamid Palangi, Baharan Mirzasoleiman
  
  ICML 2023 | June 2023
  
  Publication
- NeuralStagger: accelerating physics-constrained neural PDE solver with spatial-temporal decomposition
  
  Xinquan Huang, Wenlei Shi, Qi Meng, Yue Wang, Xiaotian Gao, Jia Zhang, Tie-Yan Liu
  
  ICML 2023 | June 2023
  
  Publication
- NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation
  
  Jianfeng Wang, Daniela Massiceti, Xiaolin Hu, Vladimir Pavlovic, Thomas Lukasiewicz
  
  2023 International Conference on Machine Learning | June 2023
  
  Author's Version
- OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models
  
  Enshu Liu, Xuefei Ning, Zinan Lin, Huazhong Yang, Yu Wang
  
  ICML 2023 | July 2023
  
  Publication
- On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology
  
  Francesco Di Giovanni, Lorenzo Giusti, Federico Barbero, Giulia Luise, Pietro Lió, Michael Bronstein
  
  ICML 2023 | May 2023
  
  Publication
- On the Expressive Power of Geometric Graph Neural Networks
  
  Chaitanya K. Joshi, Cristian Bodnar, Simon V. Mathis, Taco Cohen, Pietro Liò
  
  ICML 2023 | June 2023
  
  Publication
- Personalized Federated Learning with Inferred Collaboration Graphs
  
  Rui Ye, Zhenyang Ni, Fangzhao Wu, Siheng Chen, Yan-Feng Wang
  
  ICML 2023 | June 2023
  
  Publication
- Provable Reset-free Reinforcement Learning by No-Regret Reduction
  
  Hoai-An Nguyen, Ching-An Cheng
  
  ICML 2023 | February 2023
  
  Publication
- Quantum Speedups for Zero-Sum Games via Improved Dynamic Gibbs Sampling
  
  Adam Bouland, Yosheb Getachew, Yujia Jin, Aaron Sidford, Kevin Tian
  
  ICML 2023 | January 2023
  
  Publication
- Representation Learning with Multi-Step Inverse Kinematics: An Efficient and Optimal Approach to Rich-Observation RL
  
  Zakaria Mhammedi, Dylan Foster, Alexander Rakhlin
  
  ICML 2023 | April 2023
  
  Publication
- Retrosynthetic Planning with Dual Value Networks
  
  Guoqing Liu, Di Xue, Shufang Xie, Yingce Xia, Austin Tripp, Krzysztof Maziarz, Marwin Segler, Tao Qin, Zongzhang Zhang, Tie-Yan Liu
  
  ICML 2023 | June 2023
  
  Publication
- Rigid body flows for sampling molecular crystal structures
  
  Jonas Köhler, Michele Invernizzi, Pim de Haan, Frank Noé
  
  ICML 2023 | June 2023
  
  Publication
- Semi-Offline Reinforcement Learning for Optimized Text Generation
  
  Changyu Chen, Xiting Wang, Yiqiao Jin, Victor Ye Dong, Li Dong, Jim Cao, Yi Liu, Rui Yan
  
  International Conference on Machine Learning (ICML) | July 2023
  
  Publication
- Statistical Learning under Heterogenous Distribution Shift
  
  Max Simchowitz, Anurag Ajay, Pulkit Agrawal, Akshay Krishnamurthy
  
  ICML 2023 | February 2023
  
  Publication
- Streaming Active Learning with Deep Neural Networks
  
  Akanksha Saran, Safoora Yousefi, Akshay Krishnamurthy, John Langford, Jordan Ash
  
  ICML 2023 | March 2023
  
  Publication
- Survival Instinct in Offline Reinforcement Learning and Implicit Human Bias in Data
  
  Anqi Li, Dipendra Misra, Andrey Kolobov, Ching-An Cheng
  
  ICML 2023 – Interactive Learning with Implicit Human Feedback Workshop | June 2023
  
  ORAL
  
  Publication
- Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models
  
  Zhihong Shao, Yeyun Gong, Yelong Shen, Minlie Huang, Nan Duan, Weizhu Chen
  
  ICML 2023 | February 2023
  
  Publication
- Target-based Surrogates for Stochastic Optimization
  
  Jonathan Wilder Lavington, Sharan Vaswani, Reza Babanezhad, Mark Schmidt, Nicolas Le Roux
  
  ICML 2023 | February 2023
  
  Publication
- Text Generation with Diffusion Language Models: A Pre-training Approach with Continuous Paragraph Denoise
  
  Zhenghao Lin, Yeyun Gong, Yelong Shen, Tong Wu, Zhihao Fan, Chen Lin, Nan Duan, Weizhu Chen
  
  ICML 2023 | February 2023
  
  Publication
- Understanding Int4 Quantization for Language Models: Latency Speedup, Composability, and Failure Cases
  
  Xiaoxia Wu, Cheng Li, Reza Yazdani Aminabadi, Zhewei Yao, Yuxiong He
  
  ICML 2023 | May 2023
  
  Publication
- Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies
  
  Gati Aher, Rosa I. Arriaga, Adam Tauman Kalai
  
  ICML 2023 | February 2023
  
  Publication
- Width and Depth Limits Commute in Residual Networks
  
  Soufiane Hayou, Greg Yang
  
  ICML 2023 | February 2023
  
  Publication
- X-Paste: Revisiting Scalable Copy-Paste for Instance Segmentation using CLIP and StableDiffusion
  
  Hanqing Zhao, Dianmo Sheng, Jianmin Bao, Dongdong Chen, Dong Chen, Fang Wen, Lu Yuan, Ce Liu, Wenbo Zhou, Qi Chu, Weiming Zhang, Nenghai Yu
  
  ICML 2023 | May 2023
  
  Publication
- Principled Offline RL with Rich Exogenous Information
  
  Riashat Islam, Manan Tomar, Alex Lamb, Yonathan Efroni, Hongyu Zang, Aniket Didolkar, Dipendra Misra, Xin Li, Harm van Seijen, Remi Tachet des Combes, John Langford
  
  ICML 2023 | October 2022
  
  Publication

- Bandit Multi-linear DR-Submodular Maximization and Its Applications on Adversarial Submodular Bandits
  
  Zongqi Wan, Jialin Zhang, Wei Chen, Xiaoming Sun, Zhijie Zhang
  
  Proceedings of the 40th International Conference on Machine Learning (ICML) | July 2023
  
  PDF Preprint
- Bayesian Estimation of Differential Privacy
  
  Santiago Zanella-Béguelin, Lukas Wutschitz, Shruti Tople, Ahmed Salem, Victor Ruehle, Andrew Paverd, Mohammad Naseri, Boris Köpf, Daniel Jones
  
  2023 International Conference on Machine Learning | July 2023
  
  Rédacteur(s) en chef: Barbara Engelhardt, Emma Brunskill, Kyunghyun Cho
  
  Publication Projet
- BEATs: Audio Pre-Training with Acoustic Tokenizers
  
  Sanyuan Chen, Yu Wu, Chengyi Wang, Shujie Liu, Daniel Tompkins, Zhuo Chen, Furu Wei
  
  ICML 2023 | June 2023
  
  Publication
- CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling
  
  Yansen Wang, Kan Ren, Xinyang Jiang, Caihua Shan, Xufang Luo, Dongqi Han, Kaitao Song, Yifei Shen, Dongsheng Li
  
  ICML 2023 | August 2023
  
  Publication
- ClimaX: A foundation model for weather and climate
  
  Tung Nguyen, Johannes Brandstetter, Ashish Kapoor, Jayesh K. Gupta, Aditya Grover
  
  ICML 2023 | July 2023
  
  Preprint
- CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental Design
  
  Desi R. Ivanova, Joel Jennings, Tom Rainforth, Cheng Zhang, Adam Foster
  
  ICML 2023 | June 2023
  
  Publication Github
- Contextual Combinatorial Bandits with Probabilistically Triggered Arms
  
  Xutong Liu, Jinhang Zuo, Siwei Wang, John C.S. Lui, Mohammad Hajiesmaili, Adam Wierman, Wei Chen
  
  Proceedings of the 40th International Conference on Machine Learning (ICML) | July 2023
  
  PDF Preprint
- Differentiable Multi-Target Causal Bayesian Experimental Design
  
  Yashas Annadani, Panagiotis Tigas, Desi R. Ivanova, Andrew Jesson, Yarin Gal, Adam Foster, Stefan Bauer
  
  ICML 2023 | June 2023
  
  Publication
- Differentiable Tree Operations Promote Compositional Generalization
  
  Paul Soulos, Edward Hu, Kate McCurdy, Yunmo Chen, Roland Fernandez, Paul Smolensky, Jianfeng Gao
  
  ICML 2023 | June 2023
  
  Publication
- Differentially Private Episodic Reinforcement Learning with Heavy-tailed Rewards
  
  Yulian Wu, Xingyu Zhou, Sayak Ray Chowdhury, Di Wang
  
  ICML 2023 | June 2023
  
  Publication
- Fairness in Streaming Submodular Maximization over a Matroid Constraint
  
  Marwa El Halabi, Federico Fusco, Ashkan Norouzi-Fard, Jakab Tardos, Jakub Tarnawski
  
  ICML 2023 | June 2023
  
  Publication
- Forward-backward Gaussian variational inference via JKO in the Bures-Wasserstein Space
  
  Michael Diao, Krishnakumar Balasubramanian, Sinho Chewi, Adil Salim
  
  ICML 2023 | June 2023
  
  Publication
- Geometric Clifford Algebra Networks
  
  David Ruhe, Jayesh K. Gupta, Steven de Keninck, Max Welling, Johannes Brandstetter
  
  ICML 2023 | June 2023
  
  Publication
- Hardness of Independent Learning and Sparse Equilibrium Computation in Markov Games
  
  Dylan Foster, Noah Golowich, Sham M. Kakade
  
  ICML 2023 | June 2023
  
  Publication
- Hindsight Learning for MDPs with Exogenous Inputs
  
  Sean R. Sinclair, Felipe Vieira Frujeri, Ching-An Cheng, Luke Marshall, Hugo Barbalho, Jingling Li, Jennifer Neville, Ishai Menache, Adith Swaminathan
  
  2023 International Conference on Machine Learning | July 2023
  
  Preprint Projet Projet
- HyperTuning: Toward Adapting Large Language Models without Back-propagation
  
  Jason Phang, Yi Mao, Pengcheng He, Weizhu Chen
  
  ICML 2023 | June 2023
  
  Publication
- Infinite Action Contextual Bandits with Reusable Data Exhaust
  
  Mark Rucker, Yinglun Zhu, Paul Mineiro
  
  ICML 2023 | June 2023
  
  Publication
- InfoOT: Information Maximizing Optimal Transport
  
  Ching-Yao Chuang, Stefanie Jegelka, David Alvarez-Melis
  
  ICML 2023 | May 2023
  
  Publication
- Learning Instance-Specific Augmentations by Capturing Local Invariances
  
  Ning Miao, Tom Rainforth, Emile Mathieu, Yann Dubois, Yee Whye Teh, Adam Foster, Hyunjik Kim
  
  ICML 2023 | June 2023
  
  Publication
- Less is More: Task-aware Layer-wise Distillation for Language Model Compression
  
  Chen Liang, Simiao Zuo, Qingru Zhang, Pengcheng He, Weizhu Chen, Tuo Zhao
  
  ICML 2023 | June 2023
  
  Publication
- LongCoder: A Long-Range Pre-trained Language Model for Code Completion
  
  Daya Guo, Canwen Xu, Nan Duan, Jian Yin, Julian McAuley
  
  ICML 2023 | June 2023
  
  Publication
- LoSparse: Structured Compression of Large Language Models based on Low-Rank and Sparse Approximation
  
  Yixiao Li, Yifan Yu, Qingru Zhang, Chen Liang, Pengcheng He, Weizhu Chen, Tuo Zhao
  
  ICLR 2023 | May 2023
  
  Publication
- Magneto: A Foundation Transformer
  
  Hongyu Wang, Shuming Ma, Shaohan Huang, Li Dong, Wenhui Wang, Zhiliang Peng, Yu Wu, Payal Bajaj, Saksham Singhal, Alon Benhaim, Barun Patra, Zhun Liu, Vishrav Chaudhary, Xia Song, Furu Wei
  
  ICML 2023 | June 2023
  
  Publication
- MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from Observations
  
  Anqi Li, Byron Boots, Ching-An Cheng
  
  ICML 2023 | June 2023
  
  Publication
- Meta Optimal Transport
  
  Brandon Amos, Samuel Cohen, Giulia Luise, Ievgen Redko
  
  ICML 2023 | June 2023
  
  Publication
- Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning
  
  Yu Yang, Besmira Nushi, Hamid Palangi, Baharan Mirzasoleiman
  
  ICML 2023 | June 2023
  
  Publication
- NeuralStagger: accelerating physics-constrained neural PDE solver with spatial-temporal decomposition
  
  Xinquan Huang, Wenlei Shi, Qi Meng, Yue Wang, Xiaotian Gao, Jia Zhang, Tie-Yan Liu
  
  ICML 2023 | June 2023
  
  Publication
- NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation
  
  Jianfeng Wang, Daniela Massiceti, Xiaolin Hu, Vladimir Pavlovic, Thomas Lukasiewicz
  
  2023 International Conference on Machine Learning | June 2023
  
  Author's Version
- OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models
  
  Enshu Liu, Xuefei Ning, Zinan Lin, Huazhong Yang, Yu Wang
  
  ICML 2023 | July 2023
  
  Publication
- On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology
  
  Francesco Di Giovanni, Lorenzo Giusti, Federico Barbero, Giulia Luise, Pietro Lió, Michael Bronstein
  
  ICML 2023 | May 2023
  
  Publication
- On the Expressive Power of Geometric Graph Neural Networks
  
  Chaitanya K. Joshi, Cristian Bodnar, Simon V. Mathis, Taco Cohen, Pietro Liò
  
  ICML 2023 | June 2023
  
  Publication
- Personalized Federated Learning with Inferred Collaboration Graphs
  
  Rui Ye, Zhenyang Ni, Fangzhao Wu, Siheng Chen, Yan-Feng Wang
  
  ICML 2023 | June 2023
  
  Publication
- Principled Offline RL with Rich Exogenous Information
  
  Riashat Islam, Manan Tomar, Alex Lamb, Yonathan Efroni, Hongyu Zang, Aniket Didolkar, Dipendra Misra, Xin Li, Harm van Seijen, Remi Tachet des Combes, John Langford
  
  ICML 2023 | October 2022
  
  Publication
- Provable Reset-free Reinforcement Learning by No-Regret Reduction
  
  Hoai-An Nguyen, Ching-An Cheng
  
  ICML 2023 | February 2023
  
  Publication
- Quantum Speedups for Zero-Sum Games via Improved Dynamic Gibbs Sampling
  
  Adam Bouland, Yosheb Getachew, Yujia Jin, Aaron Sidford, Kevin Tian
  
  ICML 2023 | January 2023
  
  Publication
- Representation Learning with Multi-Step Inverse Kinematics: An Efficient and Optimal Approach to Rich-Observation RL
  
  Zakaria Mhammedi, Dylan Foster, Alexander Rakhlin
  
  ICML 2023 | April 2023
  
  Publication
- Retrosynthetic Planning with Dual Value Networks
  
  Guoqing Liu, Di Xue, Shufang Xie, Yingce Xia, Austin Tripp, Krzysztof Maziarz, Marwin Segler, Tao Qin, Zongzhang Zhang, Tie-Yan Liu
  
  ICML 2023 | June 2023
  
  Publication
- Rigid body flows for sampling molecular crystal structures
  
  Jonas Köhler, Michele Invernizzi, Pim de Haan, Frank Noé
  
  ICML 2023 | June 2023
  
  Publication
- Semi-Offline Reinforcement Learning for Optimized Text Generation
  
  Changyu Chen, Xiting Wang, Yiqiao Jin, Victor Ye Dong, Li Dong, Jim Cao, Yi Liu, Rui Yan
  
  International Conference on Machine Learning (ICML) | July 2023
  
  Publication
- Statistical Learning under Heterogenous Distribution Shift
  
  Max Simchowitz, Anurag Ajay, Pulkit Agrawal, Akshay Krishnamurthy
  
  ICML 2023 | February 2023
  
  Publication
- Streaming Active Learning with Deep Neural Networks
  
  Akanksha Saran, Safoora Yousefi, Akshay Krishnamurthy, John Langford, Jordan Ash
  
  ICML 2023 | March 2023
  
  Publication
- Survival Instinct in Offline Reinforcement Learning and Implicit Human Bias in Data
  
  Anqi Li, Dipendra Misra, Andrey Kolobov, Ching-An Cheng
  
  ICML 2023 – Interactive Learning with Implicit Human Feedback Workshop | June 2023
  
  ORAL
  
  Publication
- Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models
  
  Zhihong Shao, Yeyun Gong, Yelong Shen, Minlie Huang, Nan Duan, Weizhu Chen
  
  ICML 2023 | February 2023
  
  Publication
- Target-based Surrogates for Stochastic Optimization
  
  Jonathan Wilder Lavington, Sharan Vaswani, Reza Babanezhad, Mark Schmidt, Nicolas Le Roux
  
  ICML 2023 | February 2023
  
  Publication
- Text Generation with Diffusion Language Models: A Pre-training Approach with Continuous Paragraph Denoise
  
  Zhenghao Lin, Yeyun Gong, Yelong Shen, Tong Wu, Zhihao Fan, Chen Lin, Nan Duan, Weizhu Chen
  
  ICML 2023 | February 2023
  
  Publication
- Understanding Int4 Quantization for Language Models: Latency Speedup, Composability, and Failure Cases
  
  Xiaoxia Wu, Cheng Li, Reza Yazdani Aminabadi, Zhewei Yao, Yuxiong He
  
  ICML 2023 | May 2023
  
  Publication
- Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies
  
  Gati Aher, Rosa I. Arriaga, Adam Tauman Kalai
  
  ICML 2023 | February 2023
  
  Publication
- Width and Depth Limits Commute in Residual Networks
  
  Soufiane Hayou, Greg Yang
  
  ICML 2023 | February 2023
  
  Publication
- X-Paste: Revisiting Scalable Copy-Paste for Instance Segmentation using CLIP and StableDiffusion
  
  Hanqing Zhao, Dianmo Sheng, Jianmin Bao, Dongdong Chen, Dong Chen, Fang Wen, Lu Yuan, Ce Liu, Wenbo Zhou, Qi Chu, Weiming Zhang, Nenghai Yu
  
  ICML 2023 | May 2023
  
  Publication
- BEATs: Audio Pre-Training with Acoustic Tokenizers
  
  Sanyuan Chen, Yu Wu, Chengyi Wang, Shujie Liu, Daniel Tompkins, Zhuo Chen, Furu Wei
  
  ICML 2023 | June 2023
  
  Publication
- Geometric Clifford Algebra Networks
  
  David Ruhe, Jayesh K. Gupta, Steven de Keninck, Max Welling, Johannes Brandstetter
  
  ICML 2023 | June 2023
  
  Publication
- Magneto: A Foundation Transformer
  
  Hongyu Wang, Shuming Ma, Shaohan Huang, Li Dong, Wenhui Wang, Zhiliang Peng, Yu Wu, Payal Bajaj, Saksham Singhal, Alon Benhaim, Barun Patra, Zhun Liu, Vishrav Chaudhary, Xia Song, Furu Wei
  
  ICML 2023 | June 2023
  
  Publication
- OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models
  
  Enshu Liu, Xuefei Ning, Zinan Lin, Huazhong Yang, Yu Wang
  
  ICML 2023 | July 2023
  
  Publication
- X-Paste: Revisiting Scalable Copy-Paste for Instance Segmentation using CLIP and StableDiffusion
  
  Hanqing Zhao, Dianmo Sheng, Jianmin Bao, Dongdong Chen, Dong Chen, Fang Wen, Lu Yuan, Ce Liu, Wenbo Zhou, Qi Chu, Weiming Zhang, Nenghai Yu
  
  ICML 2023 | May 2023
  
  Publication
- BEATs: Audio Pre-Training with Acoustic Tokenizers
  
  Sanyuan Chen, Yu Wu, Chengyi Wang, Shujie Liu, Daniel Tompkins, Zhuo Chen, Furu Wei
  
  ICML 2023 | June 2023
  
  Publication
- Differentiable Tree Operations Promote Compositional Generalization
  
  Paul Soulos, Edward Hu, Kate McCurdy, Yunmo Chen, Roland Fernandez, Paul Smolensky, Jianfeng Gao
  
  ICML 2023 | June 2023
  
  Publication
- Global Selection of Contrastive Batches via Optimization on Sample Permutations
  
  Vin Sachidananda, Ziyi Yang, Chenguang Zhu
  
  ICML 2023 | July 2023
  
  PDF Publication
- HyperTuning: Toward Adapting Large Language Models without Back-propagation
  
  Jason Phang, Yi Mao, Pengcheng He, Weizhu Chen
  
  ICML 2023 | June 2023
  
  Publication
- Less is More: Task-aware Layer-wise Distillation for Language Model Compression
  
  Chen Liang, Simiao Zuo, Qingru Zhang, Pengcheng He, Weizhu Chen, Tuo Zhao
  
  ICML 2023 | June 2023
  
  Publication
- Magneto: A Foundation Transformer
  
  Hongyu Wang, Shuming Ma, Shaohan Huang, Li Dong, Wenhui Wang, Zhiliang Peng, Yu Wu, Payal Bajaj, Saksham Singhal, Alon Benhaim, Barun Patra, Zhun Liu, Vishrav Chaudhary, Xia Song, Furu Wei
  
  ICML 2023 | June 2023
  
  Publication
- Forward-backward Gaussian variational inference via JKO in the Bures-Wasserstein Space
  
  Michael Diao, Krishnakumar Balasubramanian, Sinho Chewi, Adil Salim
  
  ICML 2023 | June 2023
  
  Publication
- LongCoder: A Long-Range Pre-trained Language Model for Code Completion
  
  Daya Guo, Canwen Xu, Nan Duan, Jian Yin, Julian McAuley
  
  ICML 2023 | June 2023
  
  Publication
- Quantum Speedups for Zero-Sum Games via Improved Dynamic Gibbs Sampling
  
  Adam Bouland, Yosheb Getachew, Yujia Jin, Aaron Sidford, Kevin Tian
  
  ICML 2023 | January 2023
  
  Publication
- Bayesian Estimation of Differential Privacy
  
  Santiago Zanella-Béguelin, Lukas Wutschitz, Shruti Tople, Ahmed Salem, Victor Ruehle, Andrew Paverd, Mohammad Naseri, Boris Köpf, Daniel Jones
  
  2023 International Conference on Machine Learning | July 2023
  
  Rédacteur(s) en chef: Barbara Engelhardt, Emma Brunskill, Kyunghyun Cho
  
  Publication Projet
- Fairness in Streaming Submodular Maximization over a Matroid Constraint
  
  Marwa El Halabi, Federico Fusco, Ashkan Norouzi-Fard, Jakab Tardos, Jakub Tarnawski
  
  ICML 2023 | June 2023
  
  Publication
- Hindsight Learning for MDPs with Exogenous Inputs
  
  Sean R. Sinclair, Felipe Vieira Frujeri, Ching-An Cheng, Luke Marshall, Hugo Barbalho, Jingling Li, Jennifer Neville, Ishai Menache, Adith Swaminathan
  
  2023 International Conference on Machine Learning | July 2023
  
  Preprint Projet Projet
- LoSparse: Structured Compression of Large Language Models based on Low-Rank and Sparse Approximation
  
  Yixiao Li, Yifan Yu, Qingru Zhang, Chen Liang, Pengcheng He, Weizhu Chen, Tuo Zhao
  
  ICLR 2023 | May 2023
  
  Publication

- Bandit Multi-linear DR-Submodular Maximization and Its Applications on Adversarial Submodular Bandits
  
  Zongqi Wan, Jialin Zhang, Wei Chen, Xiaoming Sun, Zhijie Zhang
  
  Proceedings of the 40th International Conference on Machine Learning (ICML) | July 2023
  
  PDF Preprint
- Bayesian Estimation of Differential Privacy
  
  Santiago Zanella-Béguelin, Lukas Wutschitz, Shruti Tople, Ahmed Salem, Victor Ruehle, Andrew Paverd, Mohammad Naseri, Boris Köpf, Daniel Jones
  
  2023 International Conference on Machine Learning | July 2023
  
  Rédacteur(s) en chef: Barbara Engelhardt, Emma Brunskill, Kyunghyun Cho
  
  Publication Projet
- BEATs: Audio Pre-Training with Acoustic Tokenizers
  
  Sanyuan Chen, Yu Wu, Chengyi Wang, Shujie Liu, Daniel Tompkins, Zhuo Chen, Furu Wei
  
  ICML 2023 | June 2023
  
  Publication
- CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling
  
  Yansen Wang, Kan Ren, Xinyang Jiang, Caihua Shan, Xufang Luo, Dongqi Han, Kaitao Song, Yifei Shen, Dongsheng Li
  
  ICML 2023 | August 2023
  
  Publication
- ClimaX: A foundation model for weather and climate
  
  Tung Nguyen, Johannes Brandstetter, Ashish Kapoor, Jayesh K. Gupta, Aditya Grover
  
  ICML 2023 | July 2023
  
  Preprint
- CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental Design
  
  Desi R. Ivanova, Joel Jennings, Tom Rainforth, Cheng Zhang, Adam Foster
  
  ICML 2023 | June 2023
  
  Publication Github
- Contextual Combinatorial Bandits with Probabilistically Triggered Arms
  
  Xutong Liu, Jinhang Zuo, Siwei Wang, John C.S. Lui, Mohammad Hajiesmaili, Adam Wierman, Wei Chen
  
  Proceedings of the 40th International Conference on Machine Learning (ICML) | July 2023
  
  PDF Preprint
- Differentiable Multi-Target Causal Bayesian Experimental Design
  
  Yashas Annadani, Panagiotis Tigas, Desi R. Ivanova, Andrew Jesson, Yarin Gal, Adam Foster, Stefan Bauer
  
  ICML 2023 | June 2023
  
  Publication
- Differentiable Tree Operations Promote Compositional Generalization
  
  Paul Soulos, Edward Hu, Kate McCurdy, Yunmo Chen, Roland Fernandez, Paul Smolensky, Jianfeng Gao
  
  ICML 2023 | June 2023
  
  Publication
- Differentially Private Episodic Reinforcement Learning with Heavy-tailed Rewards
  
  Yulian Wu, Xingyu Zhou, Sayak Ray Chowdhury, Di Wang
  
  ICML 2023 | June 2023
  
  Publication
- Fairness in Streaming Submodular Maximization over a Matroid Constraint
  
  Marwa El Halabi, Federico Fusco, Ashkan Norouzi-Fard, Jakab Tardos, Jakub Tarnawski
  
  ICML 2023 | June 2023
  
  Publication
- Forward-backward Gaussian variational inference via JKO in the Bures-Wasserstein Space
  
  Michael Diao, Krishnakumar Balasubramanian, Sinho Chewi, Adil Salim
  
  ICML 2023 | June 2023
  
  Publication
- Geometric Clifford Algebra Networks
  
  David Ruhe, Jayesh K. Gupta, Steven de Keninck, Max Welling, Johannes Brandstetter
  
  ICML 2023 | June 2023
  
  Publication
- Global Selection of Contrastive Batches via Optimization on Sample Permutations
  
  Vin Sachidananda, Ziyi Yang, Chenguang Zhu
  
  ICML 2023 | July 2023
  
  PDF Publication
- Hardness of Independent Learning and Sparse Equilibrium Computation in Markov Games
  
  Dylan Foster, Noah Golowich, Sham M. Kakade
  
  ICML 2023 | June 2023
  
  Publication
- Hindsight Learning for MDPs with Exogenous Inputs
  
  Sean R. Sinclair, Felipe Vieira Frujeri, Ching-An Cheng, Luke Marshall, Hugo Barbalho, Jingling Li, Jennifer Neville, Ishai Menache, Adith Swaminathan
  
  2023 International Conference on Machine Learning | July 2023
  
  Preprint Projet Projet
- HyperTuning: Toward Adapting Large Language Models without Back-propagation
  
  Jason Phang, Yi Mao, Pengcheng He, Weizhu Chen
  
  ICML 2023 | June 2023
  
  Publication
- Infinite Action Contextual Bandits with Reusable Data Exhaust
  
  Mark Rucker, Yinglun Zhu, Paul Mineiro
  
  ICML 2023 | June 2023
  
  Publication
- InfoOT: Information Maximizing Optimal Transport
  
  Ching-Yao Chuang, Stefanie Jegelka, David Alvarez-Melis
  
  ICML 2023 | May 2023
  
  Publication
- Learning Instance-Specific Augmentations by Capturing Local Invariances
  
  Ning Miao, Tom Rainforth, Emile Mathieu, Yann Dubois, Yee Whye Teh, Adam Foster, Hyunjik Kim
  
  ICML 2023 | June 2023
  
  Publication
- Less is More: Task-aware Layer-wise Distillation for Language Model Compression
  
  Chen Liang, Simiao Zuo, Qingru Zhang, Pengcheng He, Weizhu Chen, Tuo Zhao
  
  ICML 2023 | June 2023
  
  Publication
- LongCoder: A Long-Range Pre-trained Language Model for Code Completion
  
  Daya Guo, Canwen Xu, Nan Duan, Jian Yin, Julian McAuley
  
  ICML 2023 | June 2023
  
  Publication
- LoSparse: Structured Compression of Large Language Models based on Low-Rank and Sparse Approximation
  
  Yixiao Li, Yifan Yu, Qingru Zhang, Chen Liang, Pengcheng He, Weizhu Chen, Tuo Zhao
  
  ICLR 2023 | May 2023
  
  Publication
- Magneto: A Foundation Transformer
  
  Hongyu Wang, Shuming Ma, Shaohan Huang, Li Dong, Wenhui Wang, Zhiliang Peng, Yu Wu, Payal Bajaj, Saksham Singhal, Alon Benhaim, Barun Patra, Zhun Liu, Vishrav Chaudhary, Xia Song, Furu Wei
  
  ICML 2023 | June 2023
  
  Publication
- MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from Observations
  
  Anqi Li, Byron Boots, Ching-An Cheng
  
  ICML 2023 | June 2023
  
  Publication
- Meta Optimal Transport
  
  Brandon Amos, Samuel Cohen, Giulia Luise, Ievgen Redko
  
  ICML 2023 | June 2023
  
  Publication
- Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning
  
  Yu Yang, Besmira Nushi, Hamid Palangi, Baharan Mirzasoleiman
  
  ICML 2023 | June 2023
  
  Publication
- NeuralStagger: accelerating physics-constrained neural PDE solver with spatial-temporal decomposition
  
  Xinquan Huang, Wenlei Shi, Qi Meng, Yue Wang, Xiaotian Gao, Jia Zhang, Tie-Yan Liu
  
  ICML 2023 | June 2023
  
  Publication
- NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation
  
  Jianfeng Wang, Daniela Massiceti, Xiaolin Hu, Vladimir Pavlovic, Thomas Lukasiewicz
  
  2023 International Conference on Machine Learning | June 2023
  
  Author's Version
- OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models
  
  Enshu Liu, Xuefei Ning, Zinan Lin, Huazhong Yang, Yu Wang
  
  ICML 2023 | July 2023
  
  Publication
- On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology
  
  Francesco Di Giovanni, Lorenzo Giusti, Federico Barbero, Giulia Luise, Pietro Lió, Michael Bronstein
  
  ICML 2023 | May 2023
  
  Publication
- On the Expressive Power of Geometric Graph Neural Networks
  
  Chaitanya K. Joshi, Cristian Bodnar, Simon V. Mathis, Taco Cohen, Pietro Liò
  
  ICML 2023 | June 2023
  
  Publication
- Personalized Federated Learning with Inferred Collaboration Graphs
  
  Rui Ye, Zhenyang Ni, Fangzhao Wu, Siheng Chen, Yan-Feng Wang
  
  ICML 2023 | June 2023
  
  Publication
- Principled Offline RL with Rich Exogenous Information
  
  Riashat Islam, Manan Tomar, Alex Lamb, Yonathan Efroni, Hongyu Zang, Aniket Didolkar, Dipendra Misra, Xin Li, Harm van Seijen, Remi Tachet des Combes, John Langford
  
  ICML 2023 | October 2022
  
  Publication
- Provable Reset-free Reinforcement Learning by No-Regret Reduction
  
  Hoai-An Nguyen, Ching-An Cheng
  
  ICML 2023 | February 2023
  
  Publication
- Quantum Speedups for Zero-Sum Games via Improved Dynamic Gibbs Sampling
  
  Adam Bouland, Yosheb Getachew, Yujia Jin, Aaron Sidford, Kevin Tian
  
  ICML 2023 | January 2023
  
  Publication
- Representation Learning with Multi-Step Inverse Kinematics: An Efficient and Optimal Approach to Rich-Observation RL
  
  Zakaria Mhammedi, Dylan Foster, Alexander Rakhlin
  
  ICML 2023 | April 2023
  
  Publication
- Retrosynthetic Planning with Dual Value Networks
  
  Guoqing Liu, Di Xue, Shufang Xie, Yingce Xia, Austin Tripp, Krzysztof Maziarz, Marwin Segler, Tao Qin, Zongzhang Zhang, Tie-Yan Liu
  
  ICML 2023 | June 2023
  
  Publication
- Rigid body flows for sampling molecular crystal structures
  
  Jonas Köhler, Michele Invernizzi, Pim de Haan, Frank Noé
  
  ICML 2023 | June 2023
  
  Publication
- Semi-Offline Reinforcement Learning for Optimized Text Generation
  
  Changyu Chen, Xiting Wang, Yiqiao Jin, Victor Ye Dong, Li Dong, Jim Cao, Yi Liu, Rui Yan
  
  International Conference on Machine Learning (ICML) | July 2023
  
  Publication
- Statistical Learning under Heterogenous Distribution Shift
  
  Max Simchowitz, Anurag Ajay, Pulkit Agrawal, Akshay Krishnamurthy
  
  ICML 2023 | February 2023
  
  Publication
- Streaming Active Learning with Deep Neural Networks
  
  Akanksha Saran, Safoora Yousefi, Akshay Krishnamurthy, John Langford, Jordan Ash
  
  ICML 2023 | March 2023
  
  Publication
- Survival Instinct in Offline Reinforcement Learning and Implicit Human Bias in Data
  
  Anqi Li, Dipendra Misra, Andrey Kolobov, Ching-An Cheng
  
  ICML 2023 – Interactive Learning with Implicit Human Feedback Workshop | June 2023
  
  ORAL
  
  Publication
- Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models
  
  Zhihong Shao, Yeyun Gong, Yelong Shen, Minlie Huang, Nan Duan, Weizhu Chen
  
  ICML 2023 | February 2023
  
  Publication
- Target-based Surrogates for Stochastic Optimization
  
  Jonathan Wilder Lavington, Sharan Vaswani, Reza Babanezhad, Mark Schmidt, Nicolas Le Roux
  
  ICML 2023 | February 2023
  
  Publication
- Text Generation with Diffusion Language Models: A Pre-training Approach with Continuous Paragraph Denoise
  
  Zhenghao Lin, Yeyun Gong, Yelong Shen, Tong Wu, Zhihao Fan, Chen Lin, Nan Duan, Weizhu Chen
  
  ICML 2023 | February 2023
  
  Publication
- Understanding Int4 Quantization for Language Models: Latency Speedup, Composability, and Failure Cases
  
  Xiaoxia Wu, Cheng Li, Reza Yazdani Aminabadi, Zhewei Yao, Yuxiong He
  
  ICML 2023 | May 2023
  
  Publication
- Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies
  
  Gati Aher, Rosa I. Arriaga, Adam Tauman Kalai
  
  ICML 2023 | February 2023
  
  Publication
- Width and Depth Limits Commute in Residual Networks
  
  Soufiane Hayou, Greg Yang
  
  ICML 2023 | February 2023
  
  Publication
- X-Paste: Revisiting Scalable Copy-Paste for Instance Segmentation using CLIP and StableDiffusion
  
  Hanqing Zhao, Dianmo Sheng, Jianmin Bao, Dongdong Chen, Dong Chen, Fang Wen, Lu Yuan, Ce Liu, Wenbo Zhou, Qi Chu, Weiming Zhang, Nenghai Yu
  
  ICML 2023 | May 2023
  
  Publication