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Stochastic Methods

1077 directly classified papers

Papers per year

Papers

Discerning Temporal Difference Learning AAAI 2024
On the Computational Complexity of Metropolis-Adjusted Langevin Algorithms for Bayesian Posterior Sampling JMLR 2024
Monte Carlo Tree Search in the Presence of Transition Uncertainty AAAI 2024
Improved Sample Complexity Analysis of Natural Policy Gradient Algorithm with General Parameterization for Infinite Horizon Discounted Reward Markov Decision Processes AISTATS 2024
Circuit Design and Efficient Simulation of Quantum Inner Product and Empirical Studies of Its Effect on Near-Term Hybrid Quantum-Classic Machine Learning CVPR 2024
Faster Sampling without Isoperimetry via Diffusion-based Monte Carlo COLT 2024
High Probability Convergence Bounds for Non-convex Stochastic Gradient Descent with Sub-Weibull Noise JMLR 2024
FedConPE: Efficient Federated Conversational Bandits with Heterogeneous Clients IJCAI 2024
Wasserstein Differential Privacy AAAI 2024
Robustly Train Normalizing Flows via KL Divergence Regularization AAAI 2024
On Unbiased Estimation for Partially Observed Diffusions JMLR 2024
On Inference Stability for Diffusion Models AAAI 2024
Mean-Square Analysis of Discretized Itô Diffusions for Heavy-tailed Sampling JMLR 2024
A Comparison of Continuous-Time Approximations to Stochastic Gradient Descent JMLR 2024
Oja's Algorithm for Streaming Sparse PCA NIPS 2024
Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data NIPS 2024
Small steps no more: Global convergence of stochastic gradient bandits for arbitrary learning rates NIPS 2024
The Price of Adaptivity in Stochastic Convex Optimization COLT 2024
Deep Learning for Computing Convergence Rates of Markov Chains NIPS 2024
Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling AISTATS 2024
autoMALA: Locally adaptive Metropolis-adjusted Langevin algorithm AISTATS 2024
Bandits with Concave Aggregated Reward IJCAI 2024
Efficient Sign-Based Optimization: Accelerating Convergence via Variance Reduction NIPS 2024
ZO-AdaMU Optimizer: Adapting Perturbation by the Momentum and Uncertainty in Zeroth-Order Optimization AAAI 2024
iMESA: Incremental Distributed Optimization for Collaborative Simultaneous Localization and Mapping RSS 2024