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Poster
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Tue 11:00
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Kernel Methods for Cooperative Multi-Agent Contextual Bandits
Abhimanyu Dubey · Alex `Sandy' Pentland
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Poster
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Tue 7:00
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Random Hypervolume Scalarizations for Provable Multi-Objective Black Box Optimization
Richard Zhang · Daniel Golovin
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Poster
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Thu 12:00
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Online Multi-Kernel Learning with Graph-Structured Feedback
Pouya M Ghari · Yanning Shen
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Poster
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Thu 6:00
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Active Learning on Attributed Graphs via Graph Cognizant Logistic Regression and Preemptive Query Generation
Florence Regol · Soumyasundar Pal · Yingxue Zhang · Mark Coates
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Poster
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Thu 13:00
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Neural Topic Modeling with Continual Lifelong Learning
Pankaj Gupta · Yatin Chaudhary · Thomas Runkler · Hinrich Schuetze
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Workshop
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Sat 6:45
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Contributed Talk 1: Provably Efficient Online Hyperparameter Optimization with Population-Based Bandits
Jack Parker-Holder · Vu Nguyen · Stephen Roberts
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Poster
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Tue 12:00
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Restarted Bayesian Online Change-point Detector achieves Optimal Detection Delay
REDA ALAMI · Odalric-Ambrym Maillard · Raphaël Féraud
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Poster
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Wed 14:00
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Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes
Chen-Yu Wei · Mehdi Jafarnia · Haipeng Luo · Hiteshi Sharma · Rahul Jain
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Poster
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Thu 7:00
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Online Learned Continual Compression with Adaptive Quantization Modules
Lucas Caccia · Eugene Belilovsky · Massimo Caccia · Joelle Pineau
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Poster
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Wed 16:00
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Feature-map-level Online Adversarial Knowledge Distillation
Inseop Chung · SeongUk Park · Jangho Kim · NOJUN KWAK
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Poster
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Wed 5:00
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Finite-Time Last-Iterate Convergence for Multi-Agent Learning in Games
Tianyi Lin · Zhengyuan Zhou · Panayotis Mertikopoulos · Michael Jordan
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Poster
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Wed 12:00
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My Fair Bandit: Distributed Learning of Max-Min Fairness with Multi-player Bandits
Ilai Bistritz · Tavor Z Baharav · Amir Leshem · Nicholas Bambos
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