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Poster
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Thu 9:00
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UnfoldML: Cost-Aware and Uncertainty-Based Dynamic 2D Prediction for Multi-Stage Classification
Yanbo Xu · Alind Khare · Glenn Matlin · Monish Ramadoss · Rishikesan Kamaleswaran · Chao Zhang · Alexey Tumanov
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Workshop
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Actively Learning Costly Reward Functions for Reinforcement Learning
André Eberhard · Houssam Metni · Georg Fahland · Alexander Stroh · Pascal Friederich
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Poster
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Tue 14:00
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Reinforcement Learning with Logarithmic Regret and Policy Switches
Grigoris Velegkas · Zhuoran Yang · Amin Karbasi
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Poster
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Tue 14:00
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Smoothed Online Convex Optimization Based on Discounted-Normal-Predictor
Lijun Zhang · Wei Jiang · Jinfeng Yi · Tianbao Yang
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Workshop
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Variational Bayesian Inference and Learning for Continuous Switching Linear Dynamical Systems
Jack Goffinet · David Carlson
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Workshop
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Non-exchangeability in Infinite Switching Linear Dynamical Systems
Victor Geadah · Jonathan Pillow
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Poster
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Thu 14:00
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Adapting to Online Label Shift with Provable Guarantees
Yong Bai · Yu-Jie Zhang · Peng Zhao · Masashi Sugiyama · Zhi-Hua Zhou
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Poster
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Wed 9:00
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Queue Up Your Regrets: Achieving the Dynamic Capacity Region of Multiplayer Bandits
Ilai Bistritz · Nicholas Bambos
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Poster
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Thu 14:00
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Optimal Comparator Adaptive Online Learning with Switching Cost
Zhiyu Zhang · Ashok Cutkosky · Yannis Paschalidis
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Poster
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Wed 14:00
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Learn to Match with No Regret: Reinforcement Learning in Markov Matching Markets
Yifei Min · Tianhao Wang · Ruitu Xu · Zhaoran Wang · Michael Jordan · Zhuoran Yang
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Poster
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Thu 14:00
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Contextual Dynamic Pricing with Unknown Noise: Explore-then-UCB Strategy and Improved Regrets
Yiyun Luo · Will Wei Sun · Yufeng Liu
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Poster
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Tue 9:00
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Better Best of Both Worlds Bounds for Bandits with Switching Costs
Idan Amir · Guy Azov · Tomer Koren · Roi Livni
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