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Poster
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Tue 14:00
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Coresets for Vertical Federated Learning: Regularized Linear Regression and K-Means Clustering
Lingxiao Huang · Zhize Li · Jialin Sun · Haoyu Zhao
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Poster
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Wed 9:00
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The Power and Limitation of Pretraining-Finetuning for Linear Regression under Covariate Shift
Jingfeng Wu · Difan Zou · Vladimir Braverman · Quanquan Gu · Sham Kakade
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Poster
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Tue 14:00
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PopArt: Efficient Sparse Regression and Experimental Design for Optimal Sparse Linear Bandits
Kyoungseok Jang · Chicheng Zhang · Kwang-Sung Jun
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Poster
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Tue 9:00
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Parameters or Privacy: A Provable Tradeoff Between Overparameterization and Membership Inference
Jasper Tan · Blake Mason · Hamid Javadi · Richard Baraniuk
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Poster
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Thu 9:00
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Lower Bounds on Randomly Preconditioned Lasso via Robust Sparse Designs
Jonathan Kelner · Frederic Koehler · Raghu Meka · Dhruv Rohatgi
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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
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Optimal Dynamic Regret in LQR Control
Dheeraj Baby · Yu-Xiang Wang
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Poster
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Wed 9:00
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Global Linear and Local Superlinear Convergence of IRLS for Non-Smooth Robust Regression
Liangzu Peng · Christian Kümmerle · Rene Vidal
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Poster
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Wed 14:00
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α-ReQ : Assessing Representation Quality in Self-Supervised Learning by measuring eigenspectrum decay
Kumar K Agrawal · Arnab Kumar Mondal · Arna Ghosh · Blake Richards
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