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53 Results
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Poster
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Tue 14:00 |
Optimizing Hyperparameters with Conformal Quantile Regression David Salinas · Jacek Golebiowski · Aaron Klein · Matthias Seeger · Cedric Archambeau |
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Poster
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Wed 14:00 |
A Nearly-Optimal Bound for Fast Regression with Guarantee Zhao Song · Mingquan Ye · Junze Yin · Lichen Zhang |
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Poster
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Wed 17:00 |
Near-Optimal Cryptographic Hardness of Agnostically Learning Halfspaces and ReLU Regression under Gaussian Marginals Ilias Diakonikolas · Daniel Kane · Lisheng Ren |
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Poster
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Wed 17:00 |
Returning The Favour: When Regression Benefits From Probabilistic Causal Knowledge Shahine Bouabid · Jake Fawkes · Dino Sejdinovic |
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Poster
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Tue 14:00 |
Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice Toshinori Kitamura · Tadashi Kozuno · Yunhao Tang · Nino Vieillard · Michal Valko · Wenhao Yang · Jincheng Mei · Pierre Menard · Mohammad Gheshlaghi Azar · Remi Munos · Olivier Pietquin · Matthieu Geist · Csaba Szepesvari · Wataru Kumagai · Yutaka Matsuo |
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Poster
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Thu 16:30 |
Implicit Regularization Leads to Benign Overfitting for Sparse Linear Regression Mo Zhou · Rong Ge |
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Poster
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Wed 14:00 |
Regression with Label Permutation in Generalized Linear Model Guanhua Fang · Ping Li |
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Poster
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Wed 17:00 |
Nearly Optimal Algorithms with Sublinear Computational Complexity for Online Kernel Regression JUNFAN LI · Shizhong Liao |
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Poster
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Tue 17:00 |
Flexible Model Aggregation for Quantile Regression Rasool Fakoor · Taesup Kim · Jonas Mueller · Alexander Smola · Ryan Tibshirani |
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Poster
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Wed 14:00 |
Optimal Online Generalized Linear Regression with Stochastic Noise and Its Application to Heteroscedastic Bandits Heyang Zhao · Dongruo Zhou · Jiafan He · Quanquan Gu |
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Poster
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Wed 17:00 |
A Large-Scale Study of Probabilistic Calibration in Neural Network Regression Victor Dheur · Souhaib Ben Taieb |
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Oral
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Thu 18:56 |
Multicalibration as Boosting for Regression Ira Globus-Harris · Declan Harrison · Michael Kearns · Aaron Roth · Jessica Sorrell |