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Stochastic Processes

2667 directly classified papers

Papers per year

Papers

Finite time analysis of temporal difference learning with linear function approximation: Tail averaging and regularisation AISTATS 2023
Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations NIPS 2023
$L_2$-Uniform Stability of Randomized Learning Algorithms: Sharper Generalization Bounds and Confidence Boosting NIPS 2023
On the Overlooked Structure of Stochastic Gradients NIPS 2023
MDPose: real-time multi-person pose estimation via mixture density model UAI 2023
Convergence of mean-field Langevin dynamics: time-space discretization, stochastic gradient, and variance reduction NIPS 2023
Unleashing the Power of Randomization in Auditing Differentially Private ML NIPS 2023
Posterior sampling-based online learning for the stochastic shortest path model UAI 2023
DiSProD: Differentiable Symbolic Propagation of Distributions for Planning IJCAI 2023
Double Randomized Underdamped Langevin with Dimension-Independent Convergence Guarantee NIPS 2023
SEEDS: Exponential SDE Solvers for Fast High-Quality Sampling from Diffusion Models NIPS 2023
Nonparametric Gaussian Process Covariances via Multidimensional Convolutions AISTATS 2023
Protecting Global Properties of Datasets with Distribution Privacy Mechanisms AISTATS 2023
Isotropic Gaussian Processes on Finite Spaces of Graphs AISTATS 2023
Benchmarking Visual Localization for Autonomous Navigation WACV 2023
SONGs: Self-Organizing Neural Graphs WACV 2023
Overlap-Guided Gaussian Mixture Models for Point Cloud Registration WACV 2023
Individualized Dosing Dynamics via Neural Eigen Decomposition NIPS 2023
Distributional Multi-Objective Decision Making IJCAI 2023
On the Statistical Benefits of Temporal Difference Learning ICML 2023
Decentralized Stochastic Bilevel Optimization with Improved per-Iteration Complexity ICML 2023
Dialogue Planning via Brownian Bridge Stochastic Process for Goal-directed Proactive Dialogue ACL 2023
Divide-and-Conquer Fusion JMLR 2023
TiDAL: Learning Training Dynamics for Active Learning ICCV 2023
Active Exploration via Experiment Design in Markov Chains AISTATS 2023