background pattern in hues of purple and blue

2022年3月28日 – 2022年3月30日

Microsoft at AISTATS 2022

地点： Virtual

所有时间都在 WET (UTC +0)

11:30 – 13:00 Poster session

Poster Session 1
相关论文与出版物
- Double Control Variates for Gradient Estimation in Discrete Latent Variable Models
  
  Michalis K. Titsias, Jiaxin Shi
14:00 – 15:00 Talk session

Bandits / Reinforcement learning

Poster Session: March 30
相关论文与出版物
- Towards an Understanding of Default Policies in Multitask Policy Optimization
  
  Ted Moskovitz, Michael Arbel, Jack Parker-Holder, Aldo Pacchiano
17:15 – 18:45 Poster session

Poster Session 2
相关论文与出版物
- Beyond the Policy Gradient Theorem for Efficient Policy Updates in Actor-Critic Algorithms
  
  Romain Laroche, Remi Tachet des Combes
- On the Convergence of Stochastic Extragradient for Bilinear Games using Restarted Iteration Averaging
  
  Chris Junchi Li, Yaodong Yu, Nicolas Loizou, Gauthier Gidel, Yi Ma, Nicolas Le Roux, Michael I. Jordan
- Learning Inconsistent Preferences with Gaussian Processes
  
  Siu Lun Chau, Javier González, Dino Sejdinovic
- Online Competitive Influence Maximization
  
  Jinhang Zuo, Xutong Liu, Carlee Joe-Wong, John C.S. Lui, Wei Chen

08:00 – 09:30 Poster session

Poster Session 3
相关论文与出版物
- Dropout as a Regularizer of Interaction Effects
  
  Benjamin Lengerich, Eric P. Xing, Rich Caruana
- Predicting the impact of treatments over time with uncertainty aware neural differential equations
  
  Edward De Brouwer, Javier González, Stephanie Hyland
- Investigating the Role of Negatives in Contrastive Representation Learning
  
  Jordan Ash, Surbhi Goel, Akshay Krishnamurthy, Dipendra Misra

08:00 – 09:00 Talk session

Reinforcement learning / Deep learning

Poster Session: March 30
相关论文与出版物
- A general class of surrogate functions for stable and efficient reinforcement learning
  
  Sharan Vaswani, Olivier Bachem, Simone Totaro, Robert Müller, Shivam Garg, Matthieu Geist, Marlos C. Machado, Pablo Samuel Castro, Nicolas Le Roux
10:30 – 12:00 Poster session

Poster Session 4
相关论文与出版物
- Exploiting Correlation to Achieve Faster Learning Rates in Low-Rank Preference Bandits
  
  Suprovat Ghoshal, Aadirupa Saha
15:30 – 17:00 Poster session

Poster Session 5

Oral sessions March 28 and 30
相关论文与出版物
- Learning and Generalization in Overparameterized Normalizing Flows
  
  Kulin Shah, Amit Deshpande, Navin Goyal
- Meta Learning MDPs with linear transition models
  
  Robert Müller, Aldo Pacchiano
- Towards an Understanding of Default Policies in Multitask Policy Optimization
  
  Ted Moskovitz, Michael Arbel, Jack Parker-Holder, Aldo Pacchiano
- A general class of surrogate functions for stable and efficient reinforcement learning
  
  Sharan Vaswani, Olivier Bachem, Simone Totaro, Robert Müller, Shivam Garg, Matthieu Geist, Marlos C. Machado, Pablo Samuel Castro, Nicolas Le Roux