firstbacksecondback
205 Results
|
Poster
|
LAPO: Latent-Variable Advantage-Weighted Policy Optimization for Offline Reinforcement Learning Xi Chen · Ali Ghadirzadeh · Tianhe Yu · Jianhao Wang · Alex Yuan Gao · Wenzhe Li · Liang Bin · Chelsea Finn · Chongjie Zhang |
||
|
Workshop
|
Simplifying Model-based RL: Learning Representations, Latent-space Models, and Policies with One Objective Raj Ghugare · Homanga Bharadhwaj · Benjamin Eysenbach · Sergey Levine · Ruslan Salakhutdinov |
||
|
Workshop
|
pyGSL: A Graph Structure Learning Toolkit Max Wasserman · Gonzalo Mateos |
||
|
Workshop
|
De novo PROTAC design using graph-based deep generative models Divya Nori · Connor Coley · Rocío Mercado |
||
|
Poster
|
Tue 14:00 |
Posterior Collapse of a Linear Latent Variable Model Zihao Wang · Liu Ziyin |
|
|
Poster
|
Tue 9:00 |
FedPop: A Bayesian Approach for Personalised Federated Learning Nikita Kotelevskii · Maxime Vono · Alain Durmus · Eric Moulines |
|
|
Poster
|
Tue 9:00 |
Learning Latent Seasonal-Trend Representations for Time Series Forecasting Zhiyuan Wang · Xovee Xu · Weifeng Zhang · Goce Trajcevski · Ting Zhong · Fan Zhou |
|
|
Poster
|
Wed 9:00 |
Identifiability of deep generative models without auxiliary information Bohdan Kivva · Goutham Rajendran · Pradeep Ravikumar · Bryon Aragam |
|
|
Poster
|
Wed 9:00 |
Learning Physics Constrained Dynamics Using Autoencoders Tsung-Yen Yang · Justinian Rosca · Karthik Narasimhan · Peter J Ramadge |
|
|
Poster
|
Optimal Positive Generation via Latent Transformation for Contrastive Learning Yinqi Li · Hong Chang · Bingpeng MA · Shiguang Shan · Xilin Chen |
||
|
Panel
|
Tue 10:45 |
Panel 1C-8: Local Spatiotemporal Representation… & Learning Latent Seasonal-Trend… Mengwei Ren · Zhiyuan Wang |
|
|
Poster
|
Tue 9:00 |
Provably sample-efficient RL with side information about latent dynamics Yao Liu · Dipendra Misra · Miro Dudik · Robert Schapire |