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Poster
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Thu 6:00
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Sparse Convex Optimization via Adaptively Regularized Hard Thresholding
Kyriakos Axiotis · Maxim Sviridenko
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Poster
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Wed 8:00
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Structured Linear Contextual Bandits: A Sharp and Geometric Smoothed Analysis
Vidyashankar Sivakumar · Steven Wu · Arindam Banerjee
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Poster
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Thu 17:00
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On the Power of Compressed Sensing with Generative Models
Akshay Kamath · Eric Price · Sushrut Karmalkar
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Poster
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Tue 7:00
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Approximation Guarantees of Local Search Algorithms via Localizability of Set Functions
Kaito Fujii
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Poster
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Wed 8:00
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Safe screening rules for L0-regression from Perspective Relaxations
Alper Atamturk · Andres Gomez
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Poster
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Wed 8:00
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Sets Clustering
Ibrahim Jubran · Murad Tukan · Alaa Maalouf · Dan Feldman
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Poster
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Thu 6:00
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Improving Robustness of Deep-Learning-Based Image Reconstruction
Ankit Raj · Yoram Bresler · Bo Li
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Poster
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Tue 9:00
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Recovery of Sparse Signals from a Mixture of Linear Samples
Soumyabrata Pal · Arya Mazumdar
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Poster
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Thu 6:00
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Rigging the Lottery: Making All Tickets Winners
Utku Evci · Trevor Gale · Jacob Menick · Pablo Samuel Castro · Erich Elsen
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Poster
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Wed 5:00
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Optimal approximation for unconstrained non-submodular minimization
Marwa El Halabi · Stefanie Jegelka
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Poster
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Wed 5:00
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Convolutional dictionary learning based auto-encoders for natural exponential-family distributions
Bahareh Tolooshams · Andrew Song · Simona Temereanca · Demba Ba
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Poster
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Thu 17:00
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Sample Complexity Bounds for 1-bit Compressive Sensing and Binary Stable Embeddings with Generative Priors
Zhaoqiang Liu · Selwyn Gomes · Avtansh Tiwari · Jonathan Scarlett
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