17 Results

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 Safe screening rules for L0-regression from Perspective Relaxations
Alper Atamturk, Andres Gomez
Poster
Wed 8:00 On Coresets for Regularized Regression
Rachit Chhaya, Supratim Shit, Anirban Dasgupta
Poster
Wed 11:00 A Geometric Approach to Archetypal Analysis via Sparse Projections
Vinayak Abrol, Pulkit Sharma
Poster
Wed 11:00 Feature Selection using Stochastic Gates
Yutaro Yamada, Ofir Lindenbaum, Sahand Negahban, Yuval Kluger
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
Wed 12:00 Estimating Model Uncertainty of Neural Networks in Sparse Information Form
Jongseok Lee, Matthias Humt, Jianxiang Feng, Rudolph Triebel
Poster
Wed 12:00 k-means++: few more steps yield constant approximation
Davin Choo, Christoph Grunau, Julian Portmann, Vaclav Rozhon
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
Thu 6:00 Input-Sparsity Low Rank Approximation in Schatten Norm
Yi Li, David Woodruff
Poster
Thu 6:00 Upper bounds for Model-Free Row-Sparse Principal Component Analysis
Guanyi Wang, Santanu Dey
Poster
Thu 9:00 Multiclass Neural Network Minimization via Tropical Newton Polytope Approximation
Georgios Smyrnis, Petros Maragos
Poster
Thu 13:00 Topic Modeling via Full Dependence Mixtures
Dan Fisher, Mark Kozdoba, Shie Mannor
Workshop
Fri 11:00 Talk by Coralia Cartis - Dimensionality reduction techniques for large-scale optimization problems
Coralia Cartis