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Author Information
David Duvenaud (University of Toronto)
More from the Same Authors
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2022 Poster: On Implicit Bias in Overparameterized Bilevel Optimization »
Paul Vicol · Jonathan Lorraine · Fabian Pedregosa · David Duvenaud · Roger Grosse -
2022 Spotlight: On Implicit Bias in Overparameterized Bilevel Optimization »
Paul Vicol · Jonathan Lorraine · Fabian Pedregosa · David Duvenaud · Roger Grosse -
2021 Poster: Oops I Took A Gradient: Scalable Sampling for Discrete Distributions »
Will Grathwohl · Kevin Swersky · Milad Hashemi · David Duvenaud · Chris Maddison -
2021 Oral: Oops I Took A Gradient: Scalable Sampling for Discrete Distributions »
Will Grathwohl · Kevin Swersky · Milad Hashemi · David Duvenaud · Chris Maddison -
2020 Poster: Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling »
Will Grathwohl · Kuan-Chieh Wang · Joern-Henrik Jacobsen · David Duvenaud · Richard Zemel -
2019 Poster: Invertible Residual Networks »
Jens Behrmann · Will Grathwohl · Ricky T. Q. Chen · David Duvenaud · Joern-Henrik Jacobsen -
2019 Oral: Invertible Residual Networks »
Jens Behrmann · Will Grathwohl · Ricky T. Q. Chen · David Duvenaud · Joern-Henrik Jacobsen -
2018 Poster: Noisy Natural Gradient as Variational Inference »
Guodong Zhang · Shengyang Sun · David Duvenaud · Roger Grosse -
2018 Oral: Noisy Natural Gradient as Variational Inference »
Guodong Zhang · Shengyang Sun · David Duvenaud · Roger Grosse -
2018 Poster: Inference Suboptimality in Variational Autoencoders »
Chris Cremer · Xuechen Li · David Duvenaud -
2018 Oral: Inference Suboptimality in Variational Autoencoders »
Chris Cremer · Xuechen Li · David Duvenaud