Stochastic Methods
1,283 papers
Papers per year
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5
7
12
7
19
19
30
33
41
44
42
46
61
91
120
141
148
132
174
76
33
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Papers
Understanding the Effect of Stochasticity in Policy Optimization
NeurIPS 2021
Variance reduction in frequency estimators via control variates method
UAI 2021
variational combinatorial sequential monte carlo methods for bayesian phylogenetic inference
UAI 2021
Why resampling outperforms reweighting for correcting sampling bias with stochastic gradients
ICLR 2021
A Catalyst Framework for Minimax Optimization
NeurIPS 2020
Accelerating Stratified Sampling SGD by Reconstructing Strata
IJCAI 2020
Achieving Fairness in the Stochastic Multi-Armed Bandit Problem
AAAI 2020
Adaptive Sampling for Stochastic Risk-Averse Learning
NeurIPS 2020
AdaScale SGD: A User-Friendly Algorithm for Distributed Training
ICML 2020
Amortized variance reduction for doubly stochastic objective
UAI 2020
A Near-Optimal Change-Detection Based Algorithm for Piecewise-Stationary Combinatorial Semi-Bandits
AAAI 2020
An Empirical Study of Stochastic Gradient Descent with Structured Covariance Noise
AISTATS 2020
An Improved Analysis of Stochastic Gradient Descent with Momentum
NeurIPS 2020
An Intrinsically-Motivated Approach for Learning Highly Exploring and Fast Mixing Policies
AAAI 2020
A Stochastic Path Integral Differential EstimatoR Expectation Maximization Algorithm
NeurIPS 2020
A Tale of Two-Timescale Reinforcement Learning with the Tightest Finite-Time Bound
AAAI 2020
A Unified Framework of Online Learning Algorithms for Training Recurrent Neural Networks
JMLR 2020
A Unified q-Memorization Framework for Asynchronous Stochastic Optimization
JMLR 2020
A Unified Theory of SGD: Variance Reduction, Sampling, Quantization and Coordinate Descent
AISTATS 2020
Automated Augmented Conjugate Inference for Non-conjugate Gaussian Process Models
AISTATS 2020
Bandits with Adversarial Scaling
ICML 2020
Best Arm Identification in Spectral Bandits
IJCAI 2020
Biased Stochastic First-Order Methods for Conditional Stochastic Optimization and Applications in Meta Learning
NeurIPS 2020
Breaking Reversibility Accelerates Langevin Dynamics for Non-Convex Optimization
NeurIPS 2020
Budget-Constrained Bandits over General Cost and Reward Distributions
AISTATS 2020