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Stochastic Processes

2667 directly classified papers

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Papers

Trigonometric Quadrature Fourier Features for Scalable Gaussian Process Regression AISTATS 2024
From Data Imputation to Data Cleaning — Automated Cleaning of Tabular Data Improves Downstream Predictive Performance AISTATS 2024
Learning multivariate temporal point processes via the time-change theorem AISTATS 2024
Escaping Saddle Points in Heterogeneous Federated Learning via Distributed SGD with Communication Compression AISTATS 2024
Auto-BPA: An Enhanced Ball-Pivoting Algorithm With Adaptive Radius Using Contextual Bandits WACV 2024
Large-Scale Gaussian Processes via Alternating Projection AISTATS 2024
Accelerating Approximate Thompson Sampling with Underdamped Langevin Monte Carlo AISTATS 2024
Stochastic Approximation with Biased MCMC for Expectation Maximization AISTATS 2024
Quantifying Unintended Memorization in BEST-RQ ASR Encoders INTERSPEECH 2024
Variational Gaussian Process Diffusion Processes AISTATS 2024
MFT: Long-Term Tracking of Every Pixel WACV 2024
A Cause-Effect Look at Alleviating Hallucination of Knowledge-grounded Dialogue Generation COLING 2024
Subsampling Error in Stochastic Gradient Langevin Diffusions AISTATS 2024
Online non-parametric likelihood-ratio estimation by Pearson-divergence functional minimization AISTATS 2024
Approximating Intersections and Differences Between Linear Statistical Shape Models Using Markov Chain Monte Carlo WACV 2024
Data-Adaptive Probabilistic Likelihood Approximation for Ordinary Differential Equations AISTATS 2024
Autoregressive Bandits AISTATS 2024
Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models ACL 2024
Breaking the Heavy-Tailed Noise Barrier in Stochastic Optimization Problems AISTATS 2024
AsGrad: A Sharp Unified Analysis of Asynchronous-SGD Algorithms AISTATS 2024
Error bounds for any regression model using Gaussian processes with gradient information AISTATS 2024
A Specialized Semismooth Newton Method for Kernel-Based Optimal Transport AISTATS 2024
Learning the Infinitesimal Generator of Stochastic Diffusion Processes NIPS 2024
Robustness Verification of Deep Reinforcement Learning Based Control Systems Using Reward Martingales AAAI 2024
Sequential and Repetitive Pattern Learning for Temporal Knowledge Graph Reasoning COLING 2024