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Stochastic Processes

2667 directly classified papers

Papers per year

Papers

Finding Safe Zones of Markov Decision Processes Policies NIPS 2023
Experiment Planning with Function Approximation NIPS 2023
Quantifying the Cost of Learning in Queueing Systems NIPS 2023
Truncating Trajectories in Monte Carlo Policy Evaluation: an Adaptive Approach NIPS 2023
Loss Dynamics of Temporal Difference Reinforcement Learning NIPS 2023
PreDiff: Precipitation Nowcasting with Latent Diffusion Models NIPS 2023
Nonlinear Controllability and Function Representation by Neural Stochastic Differential Equations L4DC 2023
Online Saddle Point Tracking with Decision-Dependent Data L4DC 2023
Convergence of mean-field Langevin dynamics: time-space discretization, stochastic gradient, and variance reduction NIPS 2023
Monte Carlo Linear Clustering with Single-Point Supervision is Enough for Infrared Small Target Detection ICCV 2023
Perceptual Improvement of Deep Neural Network (DNN) Speech Coder Using Parametric and Non-parametric Density Models INTERSPEECH 2023
ODE-RSSM: Learning Stochastic Recurrent State Space Model from Irregularly Sampled Data AAAI 2023
ActFormer: A GAN-based Transformer towards General Action-Conditioned 3D Human Motion Generation ICCV 2023
Fast Inference and Update of Probabilistic Density Estimation on Trajectory Prediction ICCV 2023
Unsupervised Protein-Ligand Binding Energy Prediction via Neural Euler's Rotation Equation NIPS 2023
Non-Stationary Bandits with Auto-Regressive Temporal Dependency NIPS 2023
A Guide Through the Zoo of Biased SGD NIPS 2023
Conformal Meta-learners for Predictive Inference of Individual Treatment Effects NIPS 2023
Efficient Batched Algorithm for Contextual Linear Bandits with Large Action Space via Soft Elimination NIPS 2023
Inference for mark-censored temporal point processes UAI 2023
Neural Processes with Stability NIPS 2023
SE(3) Equivariant Augmented Coupling Flows NIPS 2023
SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models NIPS 2023
SEEDS: Exponential SDE Solvers for Fast High-Quality Sampling from Diffusion Models NIPS 2023
Amortized Reparametrization: Efficient and Scalable Variational Inference for Latent SDEs NIPS 2023