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61 Results
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Poster
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Wed 17:00 |
Are sample means in multi-armed bandits positively or negatively biased? Jaehyeok Shin · Aaditya Ramdas · Alessandro Rinaldo |
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Poster
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Wed 17:00 |
Online Learning via the Differential Privacy Lens Jacob Abernethy · Young H Jung · Chansoo Lee · Audra McMillan · Ambuj Tewari |
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Poster
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Tue 17:30 |
Individual Regret in Cooperative Nonstochastic Multi-Armed Bandits Yogev Bar-On · Yishay Mansour |
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Poster
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Wed 17:00 |
No-Regret Learning in Unknown Games with Correlated Payoffs Pier Giuseppe Sessa · Ilija Bogunovic · Maryam Kamgarpour · Andreas Krause |
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Poster
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Thu 10:45 |
Censored Semi-Bandits: A Framework for Resource Allocation with Censored Feedback Arun Verma · Manjesh Kumar Hanawal · Arun Rajkumar · Raman Sankaran |
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Poster
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Thu 10:45 |
Learning Nearest Neighbor Graphs from Noisy Distance Samples Blake Mason · Ardhendu Tripathy · Robert Nowak |
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Poster
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Tue 10:45 |
Doubly-Robust Lasso Bandit Gi-Soo Kim · Myunghee Cho Paik |
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Poster
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Tue 10:45 |
On the Optimality of Perturbations in Stochastic and Adversarial Multi-armed Bandit Problems Baekjin Kim · Ambuj Tewari |
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Poster
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Tue 17:30 |
Learning Multiple Markov Chains via Adaptive Allocation Mohammad Sadegh Talebi · Odalric-Ambrym Maillard |
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Poster
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Thu 10:45 |
Distribution oblivious, risk-aware algorithms for multi-armed bandits with unbounded rewards Anmol Kagrecha · Jayakrishnan Nair · Krishna Jagannathan |
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Poster
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Wed 17:00 |
Low-Rank Bandit Methods for High-Dimensional Dynamic Pricing Jonas Mueller · Vasilis Syrgkanis · Matt Taddy |
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Poster
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Thu 17:00 |
Offline Contextual Bandits with High Probability Fairness Guarantees Blossom Metevier · Stephen Giguere · Sarah Brockman · Ari Kobren · Yuriy Brun · Emma Brunskill · Philip Thomas |