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Poster
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Tue 14:00
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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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Thu 9:00
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Differentially Private Generalized Linear Models Revisited
Raman Arora · Raef Bassily · Cristóbal Guzmán · Michael Menart · Enayat Ullah
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Poster
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Wed 9:00
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A Communication-efficient Algorithm with Linear Convergence for Federated Minimax Learning
Zhenyu Sun · Ermin Wei
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Workshop
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Causal Discovery in Time Series Data Using Causally Invariant Locally Linear Models
Alexander Mey
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Poster
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Thu 9:00
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Generalized Delayed Feedback Model with Post-Click Information in Recommender Systems
Jiaqi Yang · De-Chuan Zhan
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Poster
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Wed 14:00
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Coordinate Linear Variance Reduction for Generalized Linear Programming
Chaobing Song · Cheuk Yin Lin · Stephen Wright · Jelena Diakonikolas
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Poster
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Tue 14:00
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Context-Based Dynamic Pricing with Partially Linear Demand Model
Jinzhi Bu · David Simchi-Levi · Chonghuan Wang
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Poster
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Tue 14:00
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Posterior Collapse of a Linear Latent Variable Model
Zihao Wang · Liu Ziyin
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Poster
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Tue 14:00
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Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization
Devansh Arpit · Huan Wang · Yingbo Zhou · Caiming Xiong
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Workshop
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Inversely Eliciting Numerical Reasoning in Language Models via Solving Linear Systems
Fan Zhou · Haoyu Dong · Qian Liu · Zhoujun Cheng · Shi Han · Dongmei Zhang
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Poster
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Thu 9:00
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Blessing of Depth in Linear Regression: Deeper Models Have Flatter Landscape Around the True Solution
Jianhao Ma · Salar Fattahi
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