More from the Same Authors

• 2022 : Contrastive Learning Can Find An Optimal Basis For Approximately Invariant Functions »
  Daniel D. Johnson · Daniel D. Johnson · Ayoub El Hanchi · Ayoub El Hanchi · Chris Maddison · Chris Maddison
• 2022 Poster: Augment with Care: Contrastive Learning for Combinatorial Problems »
  Haonan Duan · Pashootan Vaezipoor · Max Paulus · Yangjun Ruan · Chris Maddison
• 2022 Poster: Learning to Cut by Looking Ahead: Cutting Plane Selection via Imitation Learning »
  Max Paulus · Giulia Zarpellon · Andreas Krause · Laurent Charlin · Chris Maddison
• 2022 Poster: Staged Training for Transformer Language Models »
  Sheng Shen · Pete Walsh · Kurt Keutzer · Jesse Dodge · Matthew Peters · Iz Beltagy
• 2022 Spotlight: Staged Training for Transformer Language Models »
  Sheng Shen · Pete Walsh · Kurt Keutzer · Jesse Dodge · Matthew Peters · Iz Beltagy
• 2022 Spotlight: Augment with Care: Contrastive Learning for Combinatorial Problems »
  Haonan Duan · Pashootan Vaezipoor · Max Paulus · Yangjun Ruan · Chris Maddison
• 2022 Spotlight: Learning to Cut by Looking Ahead: Cutting Plane Selection via Imitation Learning »
  Max Paulus · Giulia Zarpellon · Andreas Krause · Laurent Charlin · Chris Maddison
• 2022 Poster: Bayesian Nonparametrics for Offline Skill Discovery »
  Valentin Villecroze · Harry Braviner · Panteha Naderian · Chris Maddison · Gabriel Loaiza-Ganem
• 2022 Spotlight: Bayesian Nonparametrics for Offline Skill Discovery »
  Valentin Villecroze · Harry Braviner · Panteha Naderian · Chris Maddison · Gabriel Loaiza-Ganem
• 2022 Poster: Stochastic Reweighted Gradient Descent »
  Ayoub El Hanchi · David Stephens · Chris Maddison
• 2022 Spotlight: Stochastic Reweighted Gradient Descent »
  Ayoub El Hanchi · David Stephens · Chris Maddison
• 2021 Poster: Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding »
  Yangjun Ruan · Karen Ullrich · Daniel Severo · James Townsend · Ashish Khisti · Arnaud Doucet · Alireza Makhzani · Chris Maddison
• 2021 Oral: Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding »
  Yangjun Ruan · Karen Ullrich · Daniel Severo · James Townsend · Ashish Khisti · Arnaud Doucet · Alireza Makhzani · Chris Maddison
• 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 : Brainstorming & Closing »
  Mayoore Jaiswal · Ryan Lowe · Jesse Dodge · Jessica Forde · Rosanne Liu
• 2020 : Q&A: Jason Hartford »
  Jason Hartford · Jesse Dodge
• 2020 : Invited Talk: Chris Maddison »
  Chris Maddison
• 2020 : Q&A: Margaret Mitchell »
  Jesse Dodge
• 2020 : Invited Talk: Margaret Mitchell »
  Jesse Dodge
• 2020 : Q&A: Anima Anandakumar »
  Animashree Anandkumar · Jessica Forde
• 2020 : Panel Session »
  Jessica Forde
• 2020 : Q&A: Dani Yogatama »
  Dani Yogatama · Jesse Dodge · Jessica Forde
• 2020 : Q&A: Deborah Raji »
  Inioluwa Raji · Jessica Forde
• 2020 Workshop: MLRetrospectives: A Venue for Self-Reflection in ML Research »
  Jessica Forde · Jesse Dodge · Mayoore Jaiswal · Rosanne Liu · Ryan Lowe · Rosanne Liu · Joelle Pineau · Yoshua Bengio
• 2020 : Welcome »
  Ryan Lowe · Jessica Forde