Search All 2022 Events
 

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Workshop
Meta-Learning General-Purpose Learning Algorithms with Transformers
Louis Kirsch · Luke Metz · James Harrison · Jascha Sohl-Dickstein
Poster
Tue 14:00 Near-Optimal Sample Complexity Bounds for Constrained MDPs
Sharan Vaswani · Lin Yang · Csaba Szepesvari
Poster
Wed 9:00 Conservative Dual Policy Optimization for Efficient Model-Based Reinforcement Learning
Shenao Zhang
Poster
Wed 14:00 Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algorithm
Ashish K Jayant · Shalabh Bhatnagar
Poster
Thu 9:00 Globally Convergent Policy Search for Output Estimation
Jack Umenberger · Max Simchowitz · Juan Perdomo · Kaiqing Zhang · Russ Tedrake
Poster
Wed 14:00 Mismatched No More: Joint Model-Policy Optimization for Model-Based RL
Benjamin Eysenbach · Alexander Khazatsky · Sergey Levine · Russ Salakhutdinov
Poster
Tue 14:00 Minimax-Optimal Multi-Agent RL in Markov Games With a Generative Model
Gen Li · Yuejie Chi · Yuting Wei · Yuxin Chen
Poster
Tue 14:00 Data-Driven Offline Decision-Making via Invariant Representation Learning
Han Qi · Yi Su · Aviral Kumar · Sergey Levine
Workshop
An optimal control perspective on diffusion-based generative modeling
Julius Berner · Lorenz Richter · Karen Ullrich
Workshop
Fri 9:30 Let’s Give Domain Experts a Choice by Creating Many Approximately-Optimal Machine Learning Models
Cynthia Rudin
Poster
Wed 9:00 Fine-Tuning Pre-Trained Language Models Effectively by Optimizing Subnetworks Adaptively
Haojie Zhang · Ge Li · Jia Li · Zhongjin Zhang · YUQI ZHU · Zhi Jin
Poster
Thu 9:00 When Does Differentially Private Learning Not Suffer in High Dimensions?
Xuechen Li · Daogao Liu · Tatsunori Hashimoto · Huseyin A. Inan · Janardhan Kulkarni · Yin-Tat Lee · Abhradeep Guha Thakurta