Skip to yearly menu bar Skip to main content


Search All 2020 Events
 

Filter by Keyword:

97 Results

<<   <   Page 2 of 9   >   >>
Poster
Tue 21:00 Marginal Utility for Planning in Continuous or Large Discrete Action Spaces
Zaheen Ahmad · Levi Lelis · Michael Bowling
Spotlight
Tue 7:00 Multi-Robot Collision Avoidance under Uncertainty with Probabilistic Safety Barrier Certificates
Wenhao Luo · Wen Sun · Ashish Kapoor
Spotlight
Thu 19:10 Sinkhorn Natural Gradient for Generative Models
Zebang Shen · Zhenfu Wang · Alejandro Ribeiro · Hamed Hassani
Workshop
Fri 10:30 Session 2 | Invited talk: Phiala Shanahan, "Generative Flow Models for Gauge Field Theory"
Phiala Shanahan · Atilim Gunes Baydin
Poster
Tue 9:00 Dynamical mean-field theory for stochastic gradient descent in Gaussian mixture classification
Francesca Mignacco · Florent Krzakala · Pierfrancesco Urbani · Lenka Zdeborová
Workshop
Sat 4:45 I Can’t Believe It’s Not Better! Bridging the gap between theory and empiricism in probabilistic machine learning
Jessica Forde · Francisco Ruiz · Melanie Fernandez Pradier · Aaron Schein · Finale Doshi-Velez · Isabel Valera · David Blei · Hanna Wallach
Poster
Thu 9:00 Learning identifiable and interpretable latent models of high-dimensional neural activity using pi-VAE
Ding Zhou · Xue-Xin Wei
Poster
Tue 9:00 On the Theory of Transfer Learning: The Importance of Task Diversity
Nilesh Tripuraneni · Michael Jordan · Chi Jin
Poster
Thu 9:00 Learning Latent Space Energy-Based Prior Model
Bo Pang · Tian Han · Erik Nijkamp · Song-Chun Zhu · Ying Nian Wu
Poster
Tue 9:00 Cross-validation Confidence Intervals for Test Error
Pierre Bayle · Alexandre Bayle · Lucas Janson · Lester Mackey
Oral
Tue 18:30 Can Temporal-Difference and Q-Learning Learn Representation? A Mean-Field Theory
Yufeng Zhang · Qi Cai · Zhuoran Yang · Yongxin Chen · Zhaoran Wang
Poster
Tue 21:00 Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement
Benjamin Eysenbach · XINYANG GENG · Sergey Levine · Russ Salakhutdinov