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Poster
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Wed 6:00 |
Learning Bijective Feature Maps for Linear ICA Alexander Camuto · Matthew Willetts · Chris Holmes · Brooks Paige · Stephen Roberts |
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Poster
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Thu 7:30 |
Reinforcement Learning for Constrained Markov Decision Processes Ather Gattami · Qinbo Bai · Vaneet Aggarwal |
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Poster
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Tue 14:00 |
Designing Transportable Experiments Under S-admissability My Phan · David Arbour · Drew Dimmery · Anup Rao |
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Poster
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Wed 12:45 |
Selective Classification via One-Sided Prediction Aditya Gangrade · Anil Kag · Venkatesh Saligrama |
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Poster
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Tue 18:30 |
On the High Accuracy Limitation of Adaptive Property Estimation Yanjun Han |
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Poster
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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 |
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Poster
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Wed 6:00 |
Online probabilistic label trees Marek Wydmuch · Kalina Jasinska-Kobus · Devanathan Thiruvenkatachari · Krzysztof Dembczynski |
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Poster
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Tue 18:30 |
Exponential Convergence Rates of Classification Errors on Learning with SGD and Random Features Shingo Yashima · Atsushi Nitanda · Taiji Suzuki |
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Oral
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Tue 11:30 |
Couplings for Multinomial Hamiltonian Monte Carlo Kai Xu · Tor Erlend Fjelde · Charles Sutton · Hong Ge |
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Poster
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Wed 6:00 |
Couplings for Multinomial Hamiltonian Monte Carlo Kai Xu · Tor Erlend Fjelde · Charles Sutton · Hong Ge |
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Poster
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Wed 12:45 |
Fair for All: Best-effort Fairness Guarantees for Classification Anilesh K. Krishnaswamy · Zhihao Jiang · Kangning Wang · Yu Cheng · Kamesh Munagala |
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Poster
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Tue 18:30 |
Fenchel-Young Losses with Skewed Entropies for Class-posterior Probability Estimation Han Bao · Masashi Sugiyama |