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Poster
Wed 12:45 On Data Efficiency of Meta-learning
Maruan Al-Shedivat · Liam Li · Eric Xing · Ameet Talwalkar
Poster
Thu 7:30 No-regret Algorithms for Multi-task Bayesian Optimization
Sayak Ray Chowdhury · Aditya Gopalan
Poster
Wed 12:45 When MAML Can Adapt Fast and How to Assist When It Cannot
S├ębastien Arnold · Shariq Iqbal · Fei Sha
Poster
Wed 6:00 High-Dimensional Multi-Task Averaging and Application to Kernel Mean Embedding
Hannah Marienwald · Jean-Baptiste Fermanian · Gilles Blanchard
Poster
Tue 14:00 Does Invariant Risk Minimization Capture Invariance?
Pritish Kamath · Akilesh Tangella · Danica Sutherland · Nathan Srebro
Poster
Wed 12:45 Decision Making Problems with Funnel Structure: A Multi-Task Learning Approach with Application to Email Marketing Campaigns
Ziping Xu · Amirhossein Meisami · Ambuj Tewari
Poster
Wed 12:45 A Theory of Multiple-Source Adaptation with Limited Target Labeled Data
Yishay Mansour · Mehryar Mohri · Jae Ro · Ananda Theertha Suresh · Ke Wu
Poster
Tue 18:30 Federated Multi-armed Bandits with Personalization
Chengshuai Shi · Cong Shen · Jing Yang
Poster
Wed 6:00 Multi-Armed Bandits with Cost Subsidy
Deeksha Sinha · Karthik Abinav Sankararaman · Abbas Kazerouni · Vashist Avadhanula
Poster
Wed 6:00 Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning
Kai Cui · Heinz Koeppl