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53 Results
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Poster
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Wed 17:00 |
Gradient Descent Converges Linearly for Logistic Regression on Separable Data Kyriakos Axiotis · Maxim Sviridenko |
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Poster
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Tue 17:00 |
Multicalibration as Boosting for Regression Ira Globus-Harris · Declan Harrison · Michael Kearns · Aaron Roth · Jessica Sorrell |
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Poster
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Thu 13:30 |
Controllable Neural Symbolic Regression Tommaso Bendinelli · Luca Biggio · Pierre-Alexandre Kamienny |
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Poster
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Thu 13:30 |
Sketched Ridgeless Linear Regression: The Role of Downsampling Xin Chen · Yicheng Zeng · Siyue Yang · Qiang Sun |
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Poster
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Tue 14:00 |
Kernel Logistic Regression Approximation of an Understandable ReLU Neural Network Marie Guyomard · Susana Barbosa · Lionel Fillatre |
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Poster
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Tue 14:00 |
Efficient List-Decodable Regression using Batches Abhimanyu Das · Ayush Jain · Weihao Kong · Rajat Sen |
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Oral
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Tue 21:34 |
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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Thu 16:30 |
Data-Driven Subgroup Identification for Linear Regression Zachary Izzo · Ruishan Liu · James Zou |
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Poster
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Wed 14:00 |
Effective Minkowski Dimension of Deep Nonparametric Regression: Function Approximation and Statistical Theories Zixuan Zhang · Minshuo Chen · Mengdi Wang · Wenjing Liao · Tuo Zhao |
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Poster
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Tue 17:00 |
Weakly Supervised Regression with Interval Targets Xin Cheng · Yuzhou Cao · Ximing Li · Bo An · Lei Feng |
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Poster
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Tue 14:00 |
Deep Regression Unlearning Ayush Tarun · Vikram Chundawat · Murari Mandal · Mohan Kankanhalli |
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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 |