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Poster
Thu 14:00 Learning convex bounds for linear quadratic control policy synthesis
Jack Umenberger · Thomas Schön
Poster
Wed 14:00 Coordinate Descent with Bandit Sampling
Farnood Salehi · Patrick Thiran · Elisa Celis
Poster
Wed 14:00 Distributed Stochastic Optimization via Adaptive SGD
Ashok Cutkosky · Róbert Busa-Fekete
Poster
Thu 7:45 Efficient Projection onto the Perfect Phylogeny Model
Bei Jia · Surjyendu Ray · Sam Safavi · José Bento
Poster
Wed 14:00 Submodular Maximization via Gradient Ascent: The Case of Deep Submodular Functions
Wenruo Bai · William Stafford Noble · Jeffrey A Bilmes
Poster
Wed 14:00 Confounding-Robust Policy Improvement
Nathan Kallus · Angela Zhou
Poster
Thu 14:00 Learning without the Phase: Regularized PhaseMax Achieves Optimal Sample Complexity
Fariborz Salehi · Ehsan Abbasi · Babak Hassibi
Poster
Wed 14:00 Blind Deconvolutional Phase Retrieval via Convex Programming
Ali Ahmed · Alireza Aghasi · Paul Hand
Poster
Tue 7:45 The Lingering of Gradients: How to Reuse Gradients Over Time
Zeyuan Allen-Zhu · David Simchi-Levi · Xinshang Wang
Poster
Thu 14:00 Online convex optimization for cumulative constraints
Jianjun Yuan · Andrew Lamperski
Poster
Thu 14:00 Learning SMaLL Predictors
Vikas Garg · Ofer Dekel · Lin Xiao
Poster
Wed 7:45 SEGA: Variance Reduction via Gradient Sketching
Filip Hanzely · Konstantin Mishchenko · Peter Richtarik