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Test Of Time
Fri 17:00 Online Learning for Latent Dirichlet Allocation
Matthew Hoffman · Francis Bach · David Blei
Poster
Fri 8:30 Localization, Convexity, and Star Aggregation
Suhas Vijaykumar
Oral
Wed 8:00 Efficient First-Order Contextual Bandits: Prediction, Allocation, and Triangular Discrimination
Dylan Foster · Akshay Krishnamurthy
Poster
Tue 16:30 Accumulative Poisoning Attacks on Real-time Data
Tianyu Pang · Xiao Yang · Yinpeng Dong · Hang Su · Jun Zhu
Poster
Thu 8:30 Logarithmic Regret from Sublinear Hints
Aditya Bhaskara · Ashok Cutkosky · Ravi Kumar · Manish Purohit
Poster
Tue 8:30 Fast rates for prediction with limited expert advice
El Mehdi Saad · Gilles Blanchard
Poster
Thu 8:30 Towards Best-of-All-Worlds Online Learning with Feedback Graphs
Liad Erez · Tomer Koren
Workshop
Showing Your Offline Reinforcement Learning Work: Online Evaluation Budget Matters
Vladislav Kurenkov · Sergey Kolesnikov
Poster
Thu 0:30 Knowledge-Adaptation Priors
Mohammad Emtiyaz Khan · Siddharth Swaroop
Poster
Thu 0:30 Variational Bayesian Optimistic Sampling
Brendan O'Donoghue · Tor Lattimore
Poster
Thu 16:30 Online Selective Classification with Limited Feedback
Aditya Gangrade · Anil Kag · Ashok Cutkosky · Venkatesh Saligrama
Poster
Thu 8:30 A Unified Approach to Fair Online Learning via Blackwell Approachability
Evgenii Chzhen · Christophe Giraud · Gilles Stoltz