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AutoML

Videos

01:02:01

Directions in ML: Structured Models for Automated Machine Learning

June 29, 2021

Madeleine Udell

01:00:35

Directions in ML: Latent Stochastic Differential Equations: An Unexplored Model Class [Talk]

May 25, 2021

David Duvenaud

50:40

Knowledge Distillation as Semiparametric Inference [Talk]

April 28, 2021

Lester Mackey

01:01:00

Self-Tuning Networks: Amortizing the Hypergradient Computation for Hyperparameter Optimization

March 31, 2021

Roger Grosse

01:00:54

Directions in ML: Taking Advantage of Randomness in Expensive Optimization Problems

February 25, 2021

Ryan Adams

01:00:36

Directions in ML: AI for Adaptive Experiment Design

December 15, 2020

Yisong Yue

47:53

Directions in ML: Automating Dataset Comparison and Manipulation with Optimal Transport

November 18, 2020

David Alvarez-Melis

Mihaela van der Schaar on the AutoML Microsoft Research series

49:47

Directions in ML: AutoML & Interpretability: Powering the machine learning revolution in healthcare

October 26, 2020

Mihaela van der Schaar

picture of Frank Hutter on the right next to his AutoML talk title on the left

1:11:04

Directions in ML: “Neural architecture search: Coming of age”

September 29, 2020

Frank Hutter