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Poster
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Tue 10:45
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On the Optimality of Perturbations in Stochastic and Adversarial Multi-armed Bandit Problems
Baekjin Kim · Ambuj Tewari
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Poster
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Wed 17:00
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Communication trade-offs for Local-SGD with large step size
Aymeric Dieuleveut · Kumar Kshitij Patel
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Poster
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Tue 10:45
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A Family of Robust Stochastic Operators for Reinforcement Learning
Yingdong Lu · Mark Squillante · Chai Wah Wu
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Poster
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Wed 17:00
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A unified variance-reduced accelerated gradient method for convex optimization
Guanghui Lan · Zhize Li · Yi Zhou
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Poster
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Wed 17:00
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Sparse Variational Inference: Bayesian Coresets from Scratch
Trevor Campbell · Boyan Beronov
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Poster
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Tue 17:30
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Online sampling from log-concave distributions
Holden Lee · Oren Mangoubi · Nisheeth Vishnoi
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Poster
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Tue 17:30
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Stochastic Runge-Kutta Accelerates Langevin Monte Carlo and Beyond
Xuechen (Chen) Li · Denny Wu · Lester Mackey · Murat Erdogdu
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Poster
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Thu 10:45
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Using Statistics to Automate Stochastic Optimization
Hunter Lang · Lin Xiao · Pengchuan Zhang
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Poster
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Wed 10:45
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On the convergence of single-call stochastic extra-gradient methods
Yu-Guan Hsieh · Franck Iutzeler · Jérôme Malick · Panayotis Mertikopoulos
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Poster
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Tue 10:45
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Re-examination of the Role of Latent Variables in Sequence Modeling
Guokun Lai · Zihang Dai · Yiming Yang · Shinjae Yoo
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Poster
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Wed 10:45
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A Stochastic Composite Gradient Method with Incremental Variance Reduction
Junyu Zhang · Lin Xiao
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Poster
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Tue 17:30
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Stochastic Proximal Langevin Algorithm: Potential Splitting and Nonasymptotic Rates
Adil Salim · Dmitry Kovalev · Peter Richtarik
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