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24 Results
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Workshop
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Data-driven subgroup identification for linear regression Zachary Izzo · Ruishan Liu · James Zou |
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Workshop
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Group Excess Risk Bound of Overparameterized Linear Regression with Constant-Stepsize SGD Arjun Subramonian · Levent Sagun · Kai-Wei Chang · Yizhou Sun |
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Workshop
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Contrasting random and learned features in deep Bayesian linear regression Jacob Zavatone-Veth · William Tong · Cengiz Pehlevan |
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Poster
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Thu 14:00 |
What Can Transformers Learn In-Context? A Case Study of Simple Function Classes Shivam Garg · Dimitris Tsipras · Percy Liang · Gregory Valiant |
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Poster
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Tue 14:00 |
Robust Testing in High-Dimensional Sparse Models Anand Jerry George · Clément L Canonne |
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Workshop
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Minimax Optimal Fair Regression under Linear Model Kazuto Fukuchi · Jun Sakuma |
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Poster
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Wed 14:00 |
Wasserstein Logistic Regression with Mixed Features Aras Selvi · Mohammad Reza Belbasi · Martin Haugh · Wolfram Wiesemann |
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Poster
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Provable Generalization of Overparameterized Meta-learning Trained with SGD Yu Huang · Yingbin Liang · Longbo Huang |
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Poster
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Wed 9:00 |
Hypothesis Testing for Differentially Private Linear Regression Daniel Alabi · Salil Vadhan |
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Poster
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Tue 14:00 |
Semi-supervised Active Linear Regression Nived Rajaraman · Fnu Devvrit · Pranjal Awasthi |
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Poster
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Wed 9:00 |
Interpolation and Regularization for Causal Learning Leena Chennuru Vankadara · Luca Rendsburg · Ulrike Luxburg · Debarghya Ghoshdastidar |
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Poster
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Tue 9:00 |
Global Convergence of Federated Learning for Mixed Regression Lili Su · Jiaming Xu · Pengkun Yang |