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Poster
Tue 18:30 On the High Accuracy Limitation of Adaptive Property Estimation
Yanjun Han
Poster
Wed 6:00 Amortized Bayesian Prototype Meta-learning: A New Probabilistic Meta-learning Approach to Few-shot Image Classification
Zhuo Sun · Jijie Wu · Xiaoxu Li · Wenming Yang · Jing-Hao Xue
Poster
Wed 6:00 Collaborative Classification from Noisy Labels
Lucas Maystre · Nagarjuna Kumarappan · Judith B├╝tepage · Mounia Lalmas
Poster
Tue 18:30 Fenchel-Young Losses with Skewed Entropies for Class-posterior Probability Estimation
Han Bao · Masashi Sugiyama
Poster
Wed 6:00 Online probabilistic label trees
Marek Wydmuch · Kalina Jasinska-Kobus · Devanathan Thiruvenkatachari · Krzysztof Dembczynski
Poster
Tue 18:30 Exponential Convergence Rates of Classification Errors on Learning with SGD and Random Features
Shingo Yashima · Atsushi Nitanda · Taiji Suzuki
Poster
Wed 12:45 Selective Classification via One-Sided Prediction
Aditya Gangrade · Anil Kag · Venkatesh Saligrama
Poster
Tue 14:00 Designing Transportable Experiments Under S-admissability
My Phan · David Arbour · Drew Dimmery · Anup Rao
Poster
Thu 7:30 Reinforcement Learning for Constrained Markov Decision Processes
Ather Gattami · Qinbo Bai · Vaneet Aggarwal
Poster
Wed 12:45 Fair for All: Best-effort Fairness Guarantees for Classification
Anilesh K. Krishnaswamy · Zhihao Jiang · Kangning Wang · Yu Cheng · Kamesh Munagala
Poster
Wed 6:00 Couplings for Multinomial Hamiltonian Monte Carlo
Kai Xu · Tor Erlend Fjelde · Charles Sutton · Hong Ge
Oral
Tue 11:30 Couplings for Multinomial Hamiltonian Monte Carlo
Kai Xu · Tor Erlend Fjelde · Charles Sutton · Hong Ge