Poster

Thu 6:00

Sparse Convex Optimization via Adaptively Regularized Hard Thresholding
Kyriakos Axiotis · Maxim Sviridenko

Poster

Wed 8:00

Structured Linear Contextual Bandits: A Sharp and Geometric Smoothed Analysis
Vidyashankar Sivakumar · Steven Wu · Arindam Banerjee

Poster

Thu 17:00

On the Power of Compressed Sensing with Generative Models
Akshay Kamath · Eric Price · Sushrut Karmalkar

Poster

Tue 7:00

Approximation Guarantees of Local Search Algorithms via Localizability of Set Functions
Kaito Fujii

Poster

Wed 8:00

Safe screening rules for L0-regression from Perspective Relaxations
Alper Atamturk · Andres Gomez

Poster

Wed 8:00

Sets Clustering
Ibrahim Jubran · Murad Tukan · Alaa Maalouf · Dan Feldman

Poster

Tue 9:00

Recovery of Sparse Signals from a Mixture of Linear Samples
Soumyabrata Pal · Arya Mazumdar

Poster

Thu 6:00

Improving Robustness of Deep-Learning-Based Image Reconstruction
Ankit Raj · Yoram Bresler · Bo Li

Poster

Thu 6:00

Rigging the Lottery: Making All Tickets Winners
Utku Evci · Trevor Gale · Jacob Menick · Pablo Samuel Castro · Erich Elsen

Poster

Wed 5:00

Optimal approximation for unconstrained non-submodular minimization
Marwa El Halabi · Stefanie Jegelka

Poster

Wed 5:00

Convolutional dictionary learning based auto-encoders for natural exponential-family distributions
Bahareh Tolooshams · Andrew Song · Simona Temereanca · Demba Ba

Poster

Thu 17:00

Sample Complexity Bounds for 1-bit Compressive Sensing and Binary Stable Embeddings with Generative Priors
Zhaoqiang Liu · Selwyn Gomes · Avtansh Tiwari · Jonathan Scarlett