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Poster
Mon 9:00 More Supervision, Less Computation: Statistical-Computational Tradeoffs in Weakly Supervised Learning
Xinyang Yi · Zhaoran Wang · Zhuoran Yang · Constantine Caramanis · Han Liu
Poster
Mon 9:00 Greedy Feature Construction
Dino Oglic · Thomas Gärtner
Poster
Tue 9:00 Supervised Learning with Tensor Networks
Edwin M Stoudenmire · David Schwab
Poster
Wed 9:00 Average-case hardness of RIP certification
Tengyao Wang · Quentin Berthet · Yaniv Plan
Poster
Wed 9:00 Exact Recovery of Hard Thresholding Pursuit
Xiaotong Yuan · Ping Li · Tong Zhang
Poster
Tue 9:00 Semiparametric Differential Graph Models
Pan Xu · Quanquan Gu
Poster
Wed 9:00 Learning Bound for Parameter Transfer Learning
Wataru Kumagai
Poster
Mon 9:00 Maximal Sparsity with Deep Networks?
Bo Xin · Yizhou Wang · Wen Gao · David Wipf · Baoyuan Wang
Poster
Wed 9:00 Fast recovery from a union of subspaces
Chinmay Hegde · Piotr Indyk · Ludwig Schmidt
Poster
Tue 9:00 Fast Algorithms for Robust PCA via Gradient Descent
Xinyang Yi · Dohyung Park · Yudong Chen · Constantine Caramanis
Poster
Mon 9:00 Learning Kernels with Random Features
Aman Sinha · John Duchi
Poster
Mon 9:00 On Regularizing Rademacher Observation Losses
Richard Nock