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Poster
Tue 7:00 Expert Learning through Generalized Inverse Multiobjective Optimization: Models, Insights, and Algorithms
Chaosheng Dong · Bo Zeng
Poster
Tue 10:00 Topological Autoencoders
Michael Moor · Max Horn · Bastian Rieck · Karsten Borgwardt
Poster
Tue 14:00 Near Input Sparsity Time Kernel Embeddings via Adaptive Sampling
David Woodruff · Amir Zandieh
Poster
Wed 8:00 Polynomial Tensor Sketch for Element-wise Function of Low-Rank Matrix
Insu Han · Haim Avron · Jinwoo Shin
Poster
Wed 8:00 On Coresets for Regularized Regression
Rachit Chhaya · Supratim Shit · Anirban Dasgupta
Poster
Wed 8:00 Safe screening rules for L0-regression from Perspective Relaxations
Alper Atamturk · Andres Gomez
Poster
Wed 11:00 Feature Selection using Stochastic Gates
Yutaro Yamada · Ofir Lindenbaum · Sahand Negahban · Yuval Kluger
Poster
Wed 11:00 A Geometric Approach to Archetypal Analysis via Sparse Projections
Vinayak Abrol · Pulkit Sharma
Poster
Wed 12:00 Subspace Fitting Meets Regression: The Effects of Supervision and Orthonormality Constraints on Double Descent of Generalization Errors
Yehuda Dar · Paul Mayer · Lorenzo Luzi · Richard Baraniuk
Poster
Wed 12:00 k-means++: few more steps yield constant approximation
Davin Choo · Christoph Grunau · Julian Portmann · Vaclav Rozhon
Poster
Wed 12:00 T-Basis: a Compact Representation for Neural Networks
Anton Obukhov · Maxim Rakhuba · Stamatios Georgoulis · Menelaos Kanakis · Dengxin Dai · Luc Van Gool
Poster
Thu 6:00 Input-Sparsity Low Rank Approximation in Schatten Norm
Yi Li · David Woodruff