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Poster
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Thu 9:00
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Tight Nonparametric Convergence Rates for Stochastic Gradient Descent under the Noiseless Linear Model
Raphaël Berthier · Francis Bach · Pierre Gaillard
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Poster
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Wed 9:00
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Robustness Analysis of Non-Convex Stochastic Gradient Descent using Biased Expectations
Kevin Scaman · Cedric Malherbe
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Poster
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Tue 9:00
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Non-Convex SGD Learns Halfspaces with Adversarial Label Noise
Ilias Diakonikolas · Vasilis Kontonis · Christos Tzamos · Nikos Zarifis
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Poster
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Wed 9:00
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On the Almost Sure Convergence of Stochastic Gradient Descent in Non-Convex Problems
Panayotis Mertikopoulos · Nadav Hallak · Ali Kavis · Volkan Cevher
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Poster
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Thu 21:00
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Generalization Bound of Gradient Descent for Non-Convex Metric Learning
MINGZHI DONG · Xiaochen Yang · Rui Zhu · Yujiang Wang · Jing-Hao Xue
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Poster
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Wed 9:00
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Bayesian filtering unifies adaptive and non-adaptive neural network optimization methods
Laurence Aitchison
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Poster
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Mon 21:00
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Dynamic Regret of Policy Optimization in Non-Stationary Environments
Yingjie Fei · Zhuoran Yang · Zhaoran Wang · Qiaomin Xie
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Poster
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Wed 9:00
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A convex optimization formulation for multivariate regression
Yunzhang Zhu
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Poster
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Tue 21:00
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Improved Algorithms for Convex-Concave Minimax Optimization
Yuanhao Wang · Jian Li
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Poster
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Tue 21:00
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Optimal and Practical Algorithms for Smooth and Strongly Convex Decentralized Optimization
Dmitry Kovalev · Adil Salim · Peter Richtarik
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Poster
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Tue 21:00
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Optimal Query Complexity of Secure Stochastic Convex Optimization
Wei Tang · Chien-Ju Ho · Yang Liu
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Poster
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Thu 21:00
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SGD with shuffling: optimal rates without component convexity and large epoch requirements
Kwangjun Ahn · Chulhee Yun · Suvrit Sra
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