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Stochastic Processes

2667 directly classified papers

Papers per year

Papers

Forward-Backward Gaussian Variational Inference via JKO in the Bures-Wasserstein Space ICML 2023
Non-exponential Reward Discounting in Reinforcement Learning AAAI 2023
Maximizing the Probability of Fixation in the Positional Voter Model AAAI 2023
GANs as Gradient Flows that Converge JMLR 2023
Conformal Meta-learners for Predictive Inference of Individual Treatment Effects NIPS 2023
SwinRDM: Integrate SwinRNN with Diffusion Model towards High-Resolution and High-Quality Weather Forecasting AAAI 2023
Knowledge Graph Embeddings using Neural Ito Process: From Multiple Walks to Stochastic Trajectories ACL 2023
SCADE: NeRFs from Space Carving With Ambiguity-Aware Depth Estimates CVPR 2023
On the Statistical Benefits of Temporal Difference Learning ICML 2023
NAS-X: Neural Adaptive Smoothing via Twisting NIPS 2023
Sharp Variance-Dependent Bounds in Reinforcement Learning: Best of Both Worlds in Stochastic and Deterministic Environments ICML 2023
LEAN-DMKDE: Quantum Latent Density Estimation for Anomaly Detection (Student Abstract) AAAI 2023
Neural Markov Jump Processes ICML 2023
Benign Overfitting of Constant-Stepsize SGD for Linear Regression JMLR 2023
Stochastic Segmentation with Conditional Categorical Diffusion Models ICCV 2023
Non-adversarial training of Neural SDEs with signature kernel scores NIPS 2023
Neural Representations Reveal Distinct Modes of Class Fitting in Residual Convolutional Networks AAAI 2023
A Continuous-time Stochastic Gradient Descent Method for Continuous Data JMLR 2023
Online Non-stochastic Control with Partial Feedback JMLR 2023
Improving multiple-try Metropolis with local balancing JMLR 2023
Autoregressive Networks JMLR 2023
Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs with Applications JMLR 2023
GFlowNet Foundations JMLR 2023
Robust statistical comparison of random variables with locally varying scale of measurement UAI 2023
Infinite-dimensional optimization and Bayesian nonparametric learning of stochastic differential equations JMLR 2023