Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Yuhuai Wu

Nonlinear Invariant Risk Minimization: A Causal Approach

Feb 24, 2021
Chaochao Lu, Yuhuai Wu, Jośe Miguel Hernández-Lobato, Bernhard Schölkopf

  Access Paper or Ask Questions

Proof Artifact Co-training for Theorem Proving with Language Models

Feb 11, 2021
Jesse Michael Han, Jason Rute, Yuhuai Wu, Edward W. Ayers, Stanislas Polu

  Access Paper or Ask Questions

LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning

Jan 15, 2021
Yuhuai Wu, Markus Rabe, Wenda Li, Jimmy Ba, Roger Grosse, Christian Szegedy

* 16 pages 

  Access Paper or Ask Questions

The Scattering Compositional Learner: Discovering Objects, Attributes, Relationships in Analogical Reasoning

Jul 08, 2020
Yuhuai Wu, Honghua Dong, Roger Grosse, Jimmy Ba

  Access Paper or Ask Questions

Learning Branching Heuristics for Propositional Model Counting

Jul 07, 2020
Pashootan Vaezipoor, Gil Lederman, Yuhuai Wu, Chris J. Maddison, Roger Grosse, Edward Lee, Sanjit A. Seshia, Fahiem Bacchus

  Access Paper or Ask Questions

INT: An Inequality Benchmark for Evaluating Generalization in Theorem Proving

Jul 06, 2020
Yuhuai Wu, Albert Jiang, Jimmy Ba, Roger Grosse

  Access Paper or Ask Questions

Modelling High-Level Mathematical Reasoning in Mechanised Declarative Proofs

Jun 13, 2020
Wenda Li, Lei Yu, Yuhuai Wu, Lawrence C. Paulson

  Access Paper or Ask Questions

Options as responses: Grounding behavioural hierarchies in multi-agent RL

Jun 06, 2019
Alexander Sasha Vezhnevets, Yuhuai Wu, Remi Leblond, Joel Z. Leibo

* First two authors contributed equally 

  Access Paper or Ask Questions

Concurrent Meta Reinforcement Learning

Mar 07, 2019
Emilio Parisotto, Soham Ghosh, Sai Bhargav Yalamanchi, Varsha Chinnaobireddy, Yuhuai Wu, Ruslan Salakhutdinov

  Access Paper or Ask Questions

ACTRCE: Augmenting Experience via Teacher's Advice For Multi-Goal Reinforcement Learning

Feb 12, 2019
Harris Chan, Yuhuai Wu, Jamie Kiros, Sanja Fidler, Jimmy Ba

  Access Paper or Ask Questions

Understanding Short-Horizon Bias in Stochastic Meta-Optimization

Mar 06, 2018
Yuhuai Wu, Mengye Ren, Renjie Liao, Roger Grosse

* 17 pages, 8 figures; To appear in ICLR2018 

  Access Paper or Ask Questions

Some Considerations on Learning to Explore via Meta-Reinforcement Learning

Mar 03, 2018
Bradly C. Stadie, Ge Yang, Rein Houthooft, Xi Chen, Yan Duan, Yuhuai Wu, Pieter Abbeel, Ilya Sutskever

  Access Paper or Ask Questions

Backpropagation through the Void: Optimizing control variates for black-box gradient estimation

Feb 23, 2018
Will Grathwohl, Dami Choi, Yuhuai Wu, Geoffrey Roeder, David Duvenaud

* Published at ICLR 2018 

  Access Paper or Ask Questions

An Empirical Analysis of Proximal Policy Optimization with Kronecker-factored Natural Gradients

Jan 17, 2018
Jiaming Song, Yuhuai Wu

  Access Paper or Ask Questions

Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation

Aug 18, 2017
Yuhuai Wu, Elman Mansimov, Shun Liao, Roger Grosse, Jimmy Ba

* 14 pages, 9 figures; update github repo link 

  Access Paper or Ask Questions

On the Quantitative Analysis of Decoder-Based Generative Models

Jun 06, 2017
Yuhuai Wu, Yuri Burda, Ruslan Salakhutdinov, Roger Grosse

* Accepted to ICLR2017 

  Access Paper or Ask Questions

Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational Inference

May 28, 2017
Geoffrey Roeder, Yuhuai Wu, David Duvenaud

  Access Paper or Ask Questions

On Multiplicative Integration with Recurrent Neural Networks

Nov 12, 2016
Yuhuai Wu, Saizheng Zhang, Ying Zhang, Yoshua Bengio, Ruslan Salakhutdinov

* 10 pages, 2 figures; To appear in NIPS2016 

  Access Paper or Ask Questions

Architectural Complexity Measures of Recurrent Neural Networks

Nov 12, 2016
Saizheng Zhang, Yuhuai Wu, Tong Che, Zhouhan Lin, Roland Memisevic, Ruslan Salakhutdinov, Yoshua Bengio

* 17 pages, 8 figures; To appear in NIPS2016 

  Access Paper or Ask Questions

Path-Normalized Optimization of Recurrent Neural Networks with ReLU Activations

May 23, 2016
Behnam Neyshabur, Yuhuai Wu, Ruslan Salakhutdinov, Nathan Srebro

* 15 pages 

  Access Paper or Ask Questions

STDP as presynaptic activity times rate of change of postsynaptic activity

Mar 21, 2016
Yoshua Bengio, Thomas Mesnard, Asja Fischer, Saizheng Zhang, Yuhuai Wu

  Access Paper or Ask Questions