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Poster
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Tue 9:00
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Combining Adversarial Guarantees and Stochastic Fast Rates in Online Learning
Wouter Koolen · Peter Grünwald · Tim van Erven
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Poster
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Wed 9:00
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The Power of Adaptivity in Identifying Statistical Alternatives
Kevin Jamieson · Daniel Haas · Benjamin Recht
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Poster
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Mon 9:00
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Coin Betting and Parameter-Free Online Learning
Francesco Orabona · David Pal
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Poster
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Mon 9:00
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Combinatorial semi-bandit with known covariance
Rémy Degenne · Vianney Perchet
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Poster
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Tue 9:00
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Improved Regret Bounds for Oracle-Based Adversarial Contextual Bandits
Vasilis Syrgkanis · Haipeng Luo · Akshay Krishnamurthy · Robert Schapire
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Poster
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Wed 9:00
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Designing smoothing functions for improved worst-case competitive ratio in online optimization
Reza Eghbali · Maryam Fazel
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Poster
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Mon 9:00
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A Bandit Framework for Strategic Regression
Yang Liu · Yiling Chen
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Poster
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Mon 9:00
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Verification Based Solution for Structured MAB Problems
Zohar Karnin
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Workshop
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Sat 8:00
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Spatiotemporal Online Learning with Expert Advice and Applications in Climate Science and Finance: Claire Monteleoni (George Washington University)
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Poster
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Tue 9:00
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Incremental Variational Sparse Gaussian Process Regression
Ching-An Cheng · Byron Boots
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Poster
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Wed 9:00
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Refined Lower Bounds for Adversarial Bandits
Sébastien Gerchinovitz · Tor Lattimore
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Poster
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Tue 9:00
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Hardness of Online Sleeping Combinatorial Optimization Problems
Satyen Kale · Chansoo Lee · David Pal
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