← Optimization & Theory
Machine Learning › Optimization & Theory ›

Stochastic Processes

2667 directly classified papers

Papers per year

Papers

Fully-Adaptive Composition in Differential Privacy ICML 2023
Fast Computation of Branching Process Transition Probabilities via ADMM AISTATS 2023
Investigating the Effect of Discourse Connectives on Transformer Surprisal: Language Models Understand Connectives, Even So They Are Surprised EMNLP 2023
Mixed Linear Regression via Approximate Message Passing AISTATS 2023
Refined Convergence and Topology Learning for Decentralized SGD with Heterogeneous Data AISTATS 2023
On the Statistical Benefits of Temporal Difference Learning ICML 2023
Hedging against Complexity: Distributionally Robust Optimization with Parametric Approximation AISTATS 2023
Data Banzhaf: A Robust Data Valuation Framework for Machine Learning AISTATS 2023
Modeling Temporal Data as Continuous Functions with Stochastic Process Diffusion ICML 2023
Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation AISTATS 2023
CEM: Constrained Entropy Maximization for Task-Agnostic Safe Exploration AAAI 2023
Neural Integro-Differential Equations AAAI 2023
Particle algorithms for maximum likelihood training of latent variable models AISTATS 2023
Non-exponential Reward Discounting in Reinforcement Learning AAAI 2023
Stochastic Segmentation with Conditional Categorical Diffusion Models ICCV 2023
Error Estimation for Random Fourier Features AISTATS 2023
ODE-RSSM: Learning Stochastic Recurrent State Space Model from Irregularly Sampled Data AAAI 2023
Quantum Multi-Armed Bandits and Stochastic Linear Bandits Enjoy Logarithmic Regrets AAAI 2023
CasODE: Modeling Irregular Information Cascade via Neural Ordinary Differential Equations (Student Abstract) AAAI 2023
Consistent Model-based Clustering using the Quasi-Bernoulli Stick-breaking Process JMLR 2023
Memory-Based Dual Gaussian Processes for Sequential Learning ICML 2023
Learning Globally Smooth Functions on Manifolds ICML 2023
High Probability Convergence of Stochastic Gradient Methods ICML 2023
Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling ICML 2023
Neural Diffusion Processes ICML 2023