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Stochastic Processes

2667 directly classified papers

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Papers

Escaping Saddle Points in Heterogeneous Federated Learning via Distributed SGD with Communication Compression AISTATS 2024
Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation IJCAI 2024
Large-Scale Gaussian Processes via Alternating Projection AISTATS 2024
Accelerating Approximate Thompson Sampling with Underdamped Langevin Monte Carlo AISTATS 2024
SINAI at SemEval-2024 Task 8: Fine-tuning on Words and Perplexity as Features for Detecting Machine Written Text NAACL 2024
Towards a Pretrained Model for Restless Bandits via Multi-arm Generalization IJCAI 2024
Meta-Learning Universal Priors Using Non-Injective Change of Variables NIPS 2024
Evaluating Dynamic Topic Models ACL 2024
Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models ACL 2024
Stochastic Approximation with Biased MCMC for Expectation Maximization AISTATS 2024
Variational Gaussian Process Diffusion Processes AISTATS 2024
Self-Repellent Random Walks on General Graphs - Achieving Minimal Sampling Variance via Nonlinear Markov Chains (Extended Abstract) IJCAI 2024
Subsampling Error in Stochastic Gradient Langevin Diffusions AISTATS 2024
Online non-parametric likelihood-ratio estimation by Pearson-divergence functional minimization AISTATS 2024
Data-Adaptive Probabilistic Likelihood Approximation for Ordinary Differential Equations AISTATS 2024
Physics-informed Neural Networks with Unknown Measurement Noise L4DC 2024
Autoregressive Bandits AISTATS 2024
A Behavior-Aware Approach for Deep Reinforcement Learning in Non-stationary Environments without Known Change Points IJCAI 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
Enhancing Speech and Music Discrimination Through the Integration of Static and Dynamic Features INTERSPEECH 2024
Large Language Model Recall Uncertainty is Modulated by the Fan Effect EMNLP 2024