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Poster
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Wed 10:45
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Partitioning Structure Learning for Segmented Linear Regression Trees
Xiangyu Zheng · Song Xi Chen
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Poster
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Tue 17:30
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Optimal Best Markovian Arm Identification with Fixed Confidence
Vrettos Moulos
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Poster
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Thu 17:00
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Power analysis of knockoff filters for correlated designs
Jingbo Liu · Philippe Rigollet
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Poster
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Wed 10:45
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On the number of variables to use in principal component regression
Ji Xu · Daniel Hsu
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Poster
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Wed 10:45
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First order expansion of convex regularized estimators
Pierre C Bellec · Arun Kuchibhotla
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Poster
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Thu 10:45
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Structure Learning with Side Information: Sample Complexity
Saurabh Sihag · Ali Tajer
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Poster
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Thu 17:00
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Random Quadratic Forms with Dependence: Applications to Restricted Isometry and Beyond
Arindam Banerjee · Qilong Gu · Vidyashankar Sivakumar · Steven Wu
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Poster
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Wed 10:45
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Calibration tests in multi-class classification: A unifying framework
David Widmann · Fredrik Lindsten · Dave Zachariah
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Poster
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Wed 17:00
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McDiarmid-Type Inequalities for Graph-Dependent Variables and Stability Bounds
Rui (Ray) Zhang · Xingwu Liu · Yuyi Wang · Liwei Wang
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Poster
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Thu 17:00
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PAC-Bayes Un-Expected Bernstein Inequality
Zakaria Mhammedi · Peter Grünwald · Benjamin Guedj
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Poster
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Wed 17:00
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Nonzero-sum Adversarial Hypothesis Testing Games
Sarath Yasodharan · Patrick Loiseau
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Poster
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Thu 17:00
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Asymptotic Guarantees for Learning Generative Models with the Sliced-Wasserstein Distance
Kimia Nadjahi · Alain Durmus · Umut Simsekli · Roland Badeau
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