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10 Program Highlights »
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Spotlight
Wed Dec 5th 09:45 -- 09:50 AM @ Room 517 CD
Revisiting $(\epsilon, \gamma, \tau)$-similarity learning for domain adaptation
Sofiane Dhouib · Ievgen Redko
Spotlight
Wed Dec 5th 09:50 -- 09:55 AM @ Room 517 CD
Leveraged volume sampling for linear regression
Michal Derezinski · Manfred Warmuth · Daniel Hsu
Spotlight
Wed Dec 5th 09:55 -- 10:00 AM @ Room 517 CD
Synthesize Policies for Transfer and Adaptation across Tasks and Environments
Hexiang Hu · Liyu Chen · Boqing Gong · Fei Sha
Spotlight
Wed Dec 5th 10:00 -- 10:05 AM @ Room 517 CD
Sublinear Time Low-Rank Approximation of Distance Matrices
Ainesh Bakshi · David Woodruff
Oral
Wed Dec 5th 10:05 -- 10:20 AM @ Room 517 CD
Nearly tight sample complexity bounds for learning mixtures of Gaussians via sample compression schemes
Hassan Ashtiani · Shai Ben-David · Nicholas Harvey · Christopher Liaw · Abbas Mehrabian · Yaniv Plan
Spotlight
Wed Dec 5th 10:20 -- 10:25 AM @ Room 517 CD
Minimax Statistical Learning with Wasserstein distances
Jaeho Lee · Maxim Raginsky
Spotlight
Wed Dec 5th 10:25 -- 10:30 AM @ Room 517 CD
Generalization Bounds for Uniformly Stable Algorithms
Vitaly Feldman · Jan Vondrak
Spotlight
Wed Dec 5th 10:30 -- 10:35 AM @ Room 517 CD
A loss framework for calibrated anomaly detection
Aditya Menon · Robert Williamson
Spotlight
Wed Dec 5th 10:35 -- 10:40 AM @ Room 517 CD
Sharp Bounds for Generalized Uniformity Testing
Ilias Diakonikolas · Daniel M. Kane · Alistair Stewart
Spotlight
Wed Dec 5th 10:40 -- 10:45 AM @ Room 517 CD
Convex Elicitation of Continuous Properties
Jessica Finocchiaro · Rafael Frongillo