Stochastic Methods
1,283 papers
Papers per year
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Papers
Last iterate convergence of SGD for Least-Squares in the Interpolation regime.
NeurIPS 2021
Learning from Censored and Dependent Data: The case of Linear Dynamics
COLT 2021
Loop Estimator for Discounted Values in Markov Reward Processes
AAAI 2021
Lower Bounds on Metropolized Sampling Methods for Well-Conditioned Distributions
NeurIPS 2021
L-SVRG and L-Katyusha with Arbitrary Sampling
JMLR 2021
Machine Unlearning via Algorithmic Stability
COLT 2021
Marginalized Stochastic Natural Gradients for Black-Box Variational Inference
ICML 2021
Max-Utility Based Arm Selection Strategy For Sequential Query Recommendations
ACML 2021
MetaGrad: Adaptation using Multiple Learning Rates in Online Learning
JMLR 2021
M-FAC: Efficient Matrix-Free Approximations of Second-Order Information
NeurIPS 2021
Mixture Martingales Revisited with Applications to Sequential Tests and Confidence Intervals
JMLR 2021
Multiplicative Noise and Heavy Tails in Stochastic Optimization
ICML 2021
No-regret learning with high-probability in adversarial Markov decision processes
UAI 2021
No-Regret Reinforcement Learning with Heavy-Tailed Rewards
AISTATS 2021
One-pass Stochastic Gradient Descent in overparametrized two-layer neural networks
AISTATS 2021
Online Multi-Armed Bandits with Adaptive Inference
NeurIPS 2021
Online stochastic gradient descent on non-convex losses from high-dimensional inference
JMLR 2021
On Proximal Policy Optimization’s Heavy-tailed Gradients
ICML 2021
On the Bias-Variance-Cost Tradeoff of Stochastic Optimization
NeurIPS 2021
On the Convergence of Step Decay Step-Size for Stochastic Optimization
NeurIPS 2021
On the Stability of Random Matrix Product with Markovian Noise: Application to Linear Stochastic Approximation and TD Learning
COLT 2021
Optimal Algorithms for Stochastic Contextual Preference Bandits
NeurIPS 2021
Optimal Underdamped Langevin MCMC Method
NeurIPS 2021
Optimizing Information-theoretical Generalization Bound via Anisotropic Noise of SGLD
NeurIPS 2021
Parallel tempering on optimized paths
ICML 2021