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Poster
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Wed 11:00
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Gamification of Pure Exploration for Linear Bandits
Rémy Degenne · Pierre Menard · Xuedong Shang · Michal Valko
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Poster
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Thu 6:00
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Improved Bounds on Minimax Regret under Logarithmic Loss via Self-Concordance
Blair Bilodeau · Dylan Foster · Daniel Roy
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Poster
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Tue 7:00
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Adversarial Learning Guarantees for Linear Hypotheses and Neural Networks
Pranjal Awasthi · Natalie Frank · Mehryar Mohri
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Poster
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Thu 6:00
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Minimax-Optimal Off-Policy Evaluation with Linear Function Approximation
Yaqi Duan · Zeyu Jia · Mengdi Wang
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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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Workshop
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Invited Talk: Strategic Considerations in Statistical Estimation and Learning
Yiling Chen
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Poster
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Wed 8:00
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Fine-Grained Analysis of Stability and Generalization for Stochastic Gradient Descent
Yunwen Lei · Yiming Ying
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Poster
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Thu 12:00
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Optimistic Bounds for Multi-output Learning
Henry Reeve · Ata Kaban
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Poster
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Thu 12:00
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Topologically Densified Distributions
Christoph Hofer · Florian Graf · Marc Niethammer · Roland Kwitt
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Poster
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Wed 10:00
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Single Point Transductive Prediction
Nilesh Tripuraneni · Lester Mackey
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Poster
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Thu 8:00
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The Performance Analysis of Generalized Margin Maximizers on Separable Data
Fariborz Salehi · Ehsan Abbasi · Babak Hassibi
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Poster
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Wed 5:00
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Best Arm Identification for Cascading Bandits in the Fixed Confidence Setting
Zixin Zhong · Wang Chi Cheung · Vincent Tan
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