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Poster
Tue 9:00 A permutation-free kernel two-sample test
Shubhanshu Shekhar · Ilmun Kim · Aaditya Ramdas
Poster
Wed 9:00 Subspace clustering in high-dimensions: Phase transitions & Statistical-to-Computational gap
Luca Pesce · Bruno Loureiro · Florent Krzakala · Lenka Zdeborov√°
Poster
Tue 9:00 Learning (Very) Simple Generative Models Is Hard
Sitan Chen · Jerry Li · Yuanzhi Li
Poster
Tue 9:00 Outlier-Robust Sparse Estimation via Non-Convex Optimization
Yu Cheng · Ilias Diakonikolas · Rong Ge · Shivam Gupta · Daniel Kane · Mahdi Soltanolkotabi
Poster
Thu 9:00 An Analytical Theory of Curriculum Learning in Teacher-Student Networks
Luca Saglietti · Stefano Mannelli · Andrew Saxe
Poster
Thu 9:00 Invariance Learning based on Label Hierarchy
Shoji Toyota · Kenji Fukumizu
Poster
Tue 14:00 A Regret-Variance Trade-Off in Online Learning
Dirk van der Hoeven · Nikita Zhivotovskiy · Nicol√≤ Cesa-Bianchi
Poster
Thu 14:00 Rapidly Mixing Multiple-try Metropolis Algorithms for Model Selection Problems
Hyunwoong Chang · Changwoo Lee · Zhao Tang Luo · Huiyan Sang · Quan Zhou
Poster
Wed 9:00 Beyond black box densities: Parameter learning for the deviated components
Dat Do · Nhat Ho · XuanLong Nguyen
Poster
Thu 14:00 Robust Generalized Method of Moments: A Finite Sample Viewpoint
Dhruv Rohatgi · Vasilis Syrgkanis
Poster
Thu 9:00 Acceleration in Distributed Sparse Regression
Marie Maros · Gesualdo Scutari
Poster
Wed 14:00 Active Learning Polynomial Threshold Functions
Omri Ben-Eliezer · Max Hopkins · Chutong Yang · Hantao Yu