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Poster
Mon 18:30 Aggressive Sampling for Multi-class to Binary Reduction with Applications to Text Classification
Bikash Joshi · Massih R. Amini · Ioannis Partalas · Franck Iutzeler · Yury Maximov
Poster
Wed 18:30 Learning with Bandit Feedback in Potential Games
Amélie Héliou · Johanne Cohen · Panayotis Mertikopoulos
Poster
Wed 18:30 Approximation Algorithms for 0-Low Rank Approximation
Karl Bringmann · Pavel Kolev · David Woodruff
Poster
Wed 18:30 Optimal Sample Complexity of M-wise Data for Top-K Ranking
Minje Jang · Sunghyun Kim · Changho Suh · Sewoong Oh
Poster
Mon 18:30 Model-Powered Conditional Independence Test
Rajat Sen · Ananda Theertha Suresh · Karthikeyan Shanmugam · Alex Dimakis · Sanjay Shakkottai
Poster
Tue 18:30 Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee
Alireza Aghasi · Afshin Abdi · Nam Nguyen · Justin Romberg
Poster
Mon 18:30 A Bayesian Data Augmentation Approach for Learning Deep Models
Toan Tran · Trung Pham · Gustavo Carneiro · Lyle Palmer · Ian Reid
Poster
Tue 18:30 Robust Optimization for Non-Convex Objectives
Robert S Chen · Brendan Lucier · Yaron Singer · Vasilis Syrgkanis
Poster
Wed 18:30 The Scaling Limit of High-Dimensional Online Independent Component Analysis
Chuang Wang · Yue Lu
Poster
Mon 18:30 Fast, Sample-Efficient Algorithms for Structured Phase Retrieval
Gauri Jagatap · Chinmay Hegde
Poster
Wed 18:30 Overcoming Catastrophic Forgetting by Incremental Moment Matching
Sang-Woo Lee · Jin-Hwa Kim · Jaehyun Jun · Jung-Woo Ha · Byoung-Tak Zhang