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82 Results
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Poster
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Tue 14:00 |
Fast Stochastic Composite Minimization and an Accelerated Frank-Wolfe Algorithm under Parallelization Benjamin Dubois-Taine · Francis Bach · Quentin Berthet · Adrien Taylor |
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Poster
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Tue 9:00 |
Privacy of Noisy Stochastic Gradient Descent: More Iterations without More Privacy Loss Jason Altschuler · Kunal Talwar |
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Poster
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Tue 14:00 |
Smoothed Online Convex Optimization Based on Discounted-Normal-Predictor Lijun Zhang · Wei Jiang · Jinfeng Yi · Tianbao Yang |
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Poster
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Tue 9:00 |
Dynamics of SGD with Stochastic Polyak Stepsizes: Truly Adaptive Variants and Convergence to Exact Solution Antonio Orvieto · Simon Lacoste-Julien · Nicolas Loizou |
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Poster
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Wed 14:00 |
Decomposable Non-Smooth Convex Optimization with Nearly-Linear Gradient Oracle Complexity Sally Dong · Haotian Jiang · Yin Tat Lee · Swati Padmanabhan · Guanghao Ye |
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Poster
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Wed 14:00 |
Local Linear Convergence of Gradient Methods for Subspace Optimization via Strict Complementarity Ron Fisher · Dan Garber |
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Poster
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Thu 9:00 |
When Does Differentially Private Learning Not Suffer in High Dimensions? Xuechen Li · Daogao Liu · Tatsunori Hashimoto · Huseyin A. Inan · Janardhan Kulkarni · Yin-Tat Lee · Abhradeep Guha Thakurta |
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Poster
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Tue 9:00 |
Near-Optimal No-Regret Learning Dynamics for General Convex Games Gabriele Farina · Ioannis Anagnostides · Haipeng Luo · Chung-Wei Lee · Christian Kroer · Tuomas Sandholm |
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Poster
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Tue 14:00 |
Frank-Wolfe-based Algorithms for Approximating Tyler's M-estimator Lior Danon · Dan Garber |
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Poster
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Wed 9:00 |
A Damped Newton Method Achieves Global Slavomír Hanzely · Dmitry Kamzolov · Dmitry Pasechnyuk · Alexander Gasnikov · Peter Richtarik · Martin Takac |