Timezone: »
Q&A: Chris Maddison
Chris Maddison · Jessica Forde · Jesse Dodge
Fri Jul 17 11:50 AM -- 12:00 PM (PDT) @
Author Information
Chris Maddison (University of Toronto)
Jessica Forde (Project Jupyter)
Jesse Dodge (University of Washington)
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