Stochastic Methods
1,283 papers
Papers per year
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12
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19
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30
33
41
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46
61
91
120
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174
76
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Papers
ACCELERATING NONCONVEX LEARNING VIA REPLICA EXCHANGE LANGEVIN DIFFUSION
ICLR 2019
Acceleration of SVRG and Katyusha X by Inexact Preconditioning
ICML 2019
Active Mini-Batch Sampling Using Repulsive Point Processes
AAAI 2019
An Information-Theoretic Approach to Minimax Regret in Partial Monitoring
COLT 2019
Anytime Online-to-Batch, Optimism and Acceleration
ICML 2019
Approximations of the Restless Bandit Problem
JMLR 2019
A Sufficient Condition for Convergences of Adam and RMSProp
CVPR 2019
Asynchronous Stochastic Frank-Wolfe Algorithms for Non-Convex Optimization
IJCAI 2019
Characterizing the Exact Behaviors of Temporal Difference Learning Algorithms Using Markov Jump Linear System Theory
NeurIPS 2019
Cogra: Concept-Drift-Aware Stochastic Gradient Descent for Time-Series Forecasting
AAAI 2019
Communication-efficient Distributed SGD with Sketching
NeurIPS 2019
Communication-Efficient Stochastic Gradient MCMC for Neural Networks
AAAI 2019
Communication trade-offs for Local-SGD with large step size
NeurIPS 2019
Continuous-time Models for Stochastic Optimization Algorithms
NeurIPS 2019
Efficient Diversified Mini-Batch Selection using Variable High-layer Features
ACML 2019
Efficient Image Retrieval via Decoupling Diffusion into Online and Offline Processing
AAAI 2019
Embarrassingly Parallel MCMC using Deep Invertible Transformations
UAI 2019
Exact sampling of determinantal point processes with sublinear time preprocessing
NeurIPS 2019
Fall of Empires: Breaking Byzantine-tolerant SGD by Inner Product Manipulation
UAI 2019
Fast and Faster Convergence of SGD for Over-Parameterized Models and an Accelerated Perceptron
AISTATS 2019
Finite-Time Error Bounds For Linear Stochastic Approximation andTD Learning
COLT 2019
Finite-Time Performance Bounds and Adaptive Learning Rate Selection for Two Time-Scale Reinforcement Learning
NeurIPS 2019
Fluctuation-dissipation relations for stochastic gradient descent
ICLR 2019
Generating and Sampling Orbits for Lifted Probabilistic Inference
UAI 2019
Gradient-based Adaptive Markov Chain Monte Carlo
NeurIPS 2019