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Stochastic Processes

2667 directly classified papers

Papers per year

Papers

The High Line: Exact Risk and Learning Rate Curves of Stochastic Adaptive Learning Rate Algorithms NIPS 2024
Approximating Intersections and Differences Between Linear Statistical Shape Models Using Markov Chain Monte Carlo WACV 2024
TS-UCB: Improving on Thompson Sampling With Little to No Additional Computation AISTATS 2023
DP-BART for Privatized Text Rewriting under Local Differential Privacy ACL 2023
Score-based Quickest Change Detection for Unnormalized Models AISTATS 2023
Simultaneous Learning of Contact and Continuous Dynamics CORL 2023
Universal Physics-Informed Neural Networks: Symbolic Differential Operator Discovery with Sparse Data ICML 2023
Randomized geometric tools for anomaly detection in stock markets AISTATS 2023
Denoising MCMC for Accelerating Diffusion-Based Generative Models ICML 2023
On the Convergence of Distributed Stochastic Bilevel Optimization Algorithms over a Network AISTATS 2023
Gradient-based Wang-Landau Algorithm: A Novel Sampler for Output Distribution of Neural Networks over the Input Space ICML 2023
Perception for General-purpose Robot Manipulation AAAI 2023
Preferential Subsampling for Stochastic Gradient Langevin Dynamics AISTATS 2023
Buffered Asynchronous SGD for Byzantine Learning JMLR 2023
Tight Regret and Complexity Bounds for Thompson Sampling via Langevin Monte Carlo AISTATS 2023
Neural Markov Jump Processes ICML 2023
Opposite Online Learning via Sequentially Integrated Stochastic Gradient Descent Estimators AAAI 2023
Retrospective Uncertainties for Deep Models using Vine Copulas AISTATS 2023
Neural Spline Search for Quantile Probabilistic Modeling AAAI 2023
Explaining the effects of non-convergent MCMC in the training of Energy-Based Models ICML 2023
Gaussian Processes on Distributions based on Regularized Optimal Transport AISTATS 2023
Complexity of Probabilistic Inference in Random Dichotomous Hedonic Games AAAI 2023
Stability-Based Generalization Analysis for Mixtures of Pointwise and Pairwise Learning AAAI 2023
Neural Diffeomorphic Non-uniform B-spline Flows AAAI 2023
Distributed Stochastic Nested Optimization for Emerging Machine Learning Models: Algorithm and Theory AAAI 2023