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43 Results

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Poster
A Unified Convergence Theorem for Stochastic Optimization Methods
Xiao Li · Andre Milzarek
Workshop
Fri 6:30 Efficient Second-Order Stochastic Methods for Machine Learning
Donald Goldfarb
Workshop
Online Learning of Optimal Control Signals in Stochastic Linear Dynamical Systems
Mohamad Kazem Shirani Faradonbeh
Poster
Tue 9:00 Augmented RBMLE-UCB Approach for Adaptive Control of Linear Quadratic Systems
Akshay Mete · Rahul Singh · P. R. Kumar
Workshop
Stochastic Gradient Descent-Ascent: Unified Theory and New Efficient Methods
Aleksandr Beznosikov · Eduard Gorbunov · Hugo Berard · Nicolas Loizou
Workshop
Stochastic Gradient Methods with Compressed Communication for Decentralized Saddle Point Problems
Chhavi Sharma · Vishnu Narayanan · Balamurugan Palaniappan
Poster
Thu 9:00 An In-depth Study of Stochastic Backpropagation
Jun Fang · Mingze Xu · Hao Chen · Bing Shuai · Zhuowen Tu · Joseph Tighe
Poster
Tue 9:00 Stability and Generalization for Markov Chain Stochastic Gradient Methods
Puyu Wang · Yunwen Lei · Yiming Ying · Ding-Xuan Zhou
Poster
Thu 9:00 Thinking Outside the Ball: Optimal Learning with Gradient Descent for Generalized Linear Stochastic Convex Optimization
Idan Amir · Roi Livni · Nati Srebro
Poster
Wed 9:00 Gradient-Free Methods for Deterministic and Stochastic Nonsmooth Nonconvex Optimization
Tianyi Lin · Zeyu Zheng · Michael Jordan
Workshop
Geometric path augmentation for inference of sparsely observed stochastic nonlinear systems
Dimitra Maoutsa
Workshop
Fri 8:45 PSPS: Preconditioned Stochastic Polyak Step-size method for badly scaled data
Farshed Abdukhakimov