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Stochastic Methods

1077 directly classified papers

Papers per year

Papers

Scaling-Up Robust Gradient Descent Techniques AAAI 2021
Asynchronous Stochastic Gradient Descent for Extreme-Scale Recommender Systems AAAI 2021
Implicit Langevin Algorithms for Sampling From Log-concave Densities JMLR 2021
variational combinatorial sequential monte carlo methods for bayesian phylogenetic inference UAI 2021
Variance reduction in frequency estimators via control variates method UAI 2021
No-regret learning with high-probability in adversarial Markov decision processes UAI 2021
Stability and Convergence of Stochastic Gradient Clipping: Beyond Lipschitz Continuity and Smoothness ICML 2021
Principal component analysis in the stochastic differential privacy model UAI 2021
Improving Hashing Algorithms for Similarity Search via MLE and the Control Variates Trick ACML 2021
Best Arm Identification in Graphical Bilinear Bandits ICML 2021
Skew-symmetrically perturbed gradient flow for convex optimization ACML 2021
Max-Utility Based Arm Selection Strategy For Sequential Query Recommendations ACML 2021
Quantization Algorithms for Random Fourier Features ICML 2021
Stochastic Multi-Armed Bandits with Unrestricted Delay Distributions ICML 2021
Bias-Robust Bayesian Optimization via Dueling Bandits ICML 2021
DivAug: Plug-In Automated Data Augmentation With Explicit Diversity Maximization ICCV 2021
Asynchronous Optimization Methods for Efficient Training of Deep Neural Networks with Guarantees AAAI 2021
Elastic Consistency: A Practical Consistency Model for Distributed Stochastic Gradient Descent AAAI 2021
An Adaptive-MCMC Scheme for Setting Trajectory Lengths in Hamiltonian Monte Carlo AISTATS 2021
Efficient debiased evidence estimation by multilevel Monte Carlo sampling UAI 2021
MetaGrad: Adaptation using Multiple Learning Rates in Online Learning JMLR 2021
Stability and Generalization of Decentralized Stochastic Gradient Descent AAAI 2021
Hogwild! over Distributed Local Data Sets with Linearly Increasing Mini-Batch Sizes AISTATS 2021
From Low Probability to High Confidence in Stochastic Convex Optimization JMLR 2021
Parametric Graph for Unimodal Ranking Bandit ICML 2021