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Poster
Wed 7:45 Testing for Families of Distributions via the Fourier Transform
Alistair Stewart · Ilias Diakonikolas · Clément L Canonne
Poster
Wed 14:00 On Learning Markov Chains
Yi Hao · Alon Orlitsky · Venkatadheeraj Pichapati
Poster
Wed 7:45 Balanced Policy Evaluation and Learning
Nathan Kallus
Poster
Tue 7:45 On Neuronal Capacity
Pierre Baldi · Roman Vershynin
Poster
Thu 7:45 Byzantine Stochastic Gradient Descent
Dan Alistarh · Zeyuan Allen-Zhu · Jerry Li
Poster
Wed 7:45 Improved Algorithms for Collaborative PAC Learning
Huy Nguyen · Lydia Zakynthinou
Poster
Thu 7:45 Contextual bandits with surrogate losses: Margin bounds and efficient algorithms
Dylan Foster · Akshay Krishnamurthy
Poster
Wed 7:45 Minimax Statistical Learning with Wasserstein distances
Jaeho Lee · Maxim Raginsky
Poster
Tue 14:00 Differentially Private Testing of Identity and Closeness of Discrete Distributions
Jayadev Acharya · Ziteng Sun · Huanyu Zhang
Poster
Wed 7:45 Sharp Bounds for Generalized Uniformity Testing
Ilias Diakonikolas · Daniel M. Kane · Alistair Stewart
Poster
Wed 14:00 Information-theoretic Limits for Community Detection in Network Models
Chuyang Ke · Jean Honorio
Poster
Wed 7:45 A loss framework for calibrated anomaly detection
Aditya Menon · Robert Williamson