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Stochastic Processes

438 papers

Papers per year

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9
29
16
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Papers

Towards a Complete Analysis of Langevin Monte Carlo: Beyond Poincaré Inequality COLT 2023
The $k$-Cap Process on Geometric Random Graphs COLT 2023
Initialization Noise in Image Gradients and Saliency Maps CVPR 2023
Gaussian processes at the Helm(holtz): A more fluid model for ocean currents ICML 2023
Adaptive Annealed Importance Sampling with Constant Rate Progress ICML 2023
Learning Mixtures of Markov Chains and MDPs ICML 2023
Distribution-dependent McDiarmid-type Inequalities for Functions of Unbounded Interaction ICML 2023
Image Restoration with Mean-Reverting Stochastic Differential Equations ICML 2023
Nonparametric Density Estimation under Distribution Drift ICML 2023
Gibbsian Polar Slice Sampling ICML 2023
Variational Autoencoding Neural Operators ICML 2023
Neural Markov Jump Processes ICML 2023
Vector-Valued Control Variates ICML 2023
The Implicit Regularization of Dynamical Stability in Stochastic Gradient Descent ICML 2023
Reducing the Prior Mismatch of Stochastic Differential Equations for Diffusion-based Speech Enhancement INTERSPEECH 2023
Sampling random graph homomorphisms and applications to network data analysis JMLR 2023
Contextual Stochastic Block Model: Sharp Thresholds and Contiguity JMLR 2023
Doubly Robust Stein-Kernelized Monte Carlo Estimator: Simultaneous Bias-Variance Reduction and Supercanonical Convergence JMLR 2023
Concentration analysis of multivariate elliptic diffusions JMLR 2023
FLIP: A Utility Preserving Privacy Mechanism for Time Series JMLR 2023
Infinite-dimensional optimization and Bayesian nonparametric learning of stochastic differential equations JMLR 2023
Limits of Dense Simplicial Complexes JMLR 2023
Statistical Comparisons of Classifiers by Generalized Stochastic Dominance JMLR 2023
Differentially Private Hypothesis Testing for Linear Regression JMLR 2023
Aligned Diffusion Schrödinger Bridges UAI 2023