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Yuhuai Wu

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Papers (19)

  1. PaLM 2 Technical Report cs.CL · 2023 · author #116
  2. Holistic Evaluation of Language Models cs.CL · 2022 · author #9
  3. Solving Quantitative Reasoning Problems with Language Models cs.CL · 2022 · author #11
  4. On the Opportunities and Risks of Foundation Models cs.LG · 2021 · author #103
  5. Concurrent Meta Reinforcement Learning cs.AI · 2019 · author #5
  6. ACTRCE: Augmenting Experience via Teacher's Advice For Multi-Goal Reinforcement Learning cs.LG · 2019 · author #2
  7. Understanding Short-Horizon Bias in Stochastic Meta-Optimization cs.LG · 2018 · author #1
  8. Some Considerations on Learning to Explore via Meta-Reinforcement Learning cs.AI · 2018 · author #6
  9. An Empirical Analysis of Proximal Policy Optimization with Kronecker-factored Natural Gradients cs.AI · 2018 · author #2
  10. Backpropagation through the Void: Optimizing control variates for black-box gradient estimation cs.LG · 2017 · author #3
  11. Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation cs.LG · 2017 · author #1
  12. Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational Inference stat.ML · 2017 · author #2
  13. On the Quantitative Analysis of Decoder-Based Generative Models cs.LG · 2016 · author #1
  14. On Multiplicative Integration with Recurrent Neural Networks cs.LG · 2016 · author #1
  15. Path-Normalized Optimization of Recurrent Neural Networks with ReLU Activations cs.LG · 2016 · author #2
  16. Architectural Complexity Measures of Recurrent Neural Networks cs.LG · 2016 · author #2
  17. STDP as presynaptic activity times rate of change of postsynaptic activity cs.NE · 2015 · author #5
  18. Discrete Equidecomposability and Ehrhart Theory of Polygons math.CO · 2014 · author #2
  19. Conditions for Discrete Equidecomposability of Polygons math.CO · 2014 · author #2

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