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Poster
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Tue 14:00 |
List Learning with Attribute Noise Mahdi Cheraghchi · Elena Grigorescu · Brendan Juba · Karl Wimmer · Ning Xie |
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Poster
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Tue 14:00 |
Problem-Complexity Adaptive Model Selection for Stochastic Linear Bandits Avishek Ghosh · Abishek Sankararaman · Ramchandran Kannan |
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Poster
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Tue 14:00 |
Misspecification in Prediction Problems and Robustness via Improper Learning Annie Marsden · John Duchi · Gregory Valiant |
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Poster
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Tue 18:30 |
Meta Learning in the Continuous Time Limit Ruitu Xu · Lin Chen · Amin Karbasi |
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Poster
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Tue 18:30 |
γ-ABC: Outlier-Robust Approximate Bayesian Computation Based on a Robust Divergence Estimator Masahiro Fujisawa · Takeshi Teshima · Issei Sato · Masashi Sugiyama |
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Poster
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Wed 6:00 |
Aggregating Incomplete and Noisy Rankings Dimitris Fotakis · Alkis Kalavasis · Konstantinos Stavropoulos |
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Poster
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Wed 6:00 |
Learn to Expect the Unexpected: Probably Approximately Correct Domain Generalization Vikas Garg · Adam Tauman Kalai · Katrina Ligett · Steven Wu |
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Poster
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Wed 6:00 |
Learning Complexity of Simulated Annealing Avrim Blum · Chen Dan · Saeed Seddighin |
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Poster
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Wed 12:45 |
On the Minimax Optimality of the EM Algorithm for Learning Two-Component Mixed Linear Regression Jeongyeol Kwon · Nhat Ho · Constantine Caramanis |
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Poster
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Thu 7:30 |
The Teaching Dimension of Kernel Perceptron Akash Kumar · Hanqi Zhang · Adish Singla · Yuxin Chen |
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Poster
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Thu 7:30 |
A Stein Goodness-of-test for Exponential Random Graph Models Wenkai Xu · Gesine Reinert |
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Oral
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Thu 15:30 |
Misspecification in Prediction Problems and Robustness via Improper Learning Annie Marsden · John Duchi · Gregory Valiant |