Stochastic Processes
2,948 papers
Papers per year
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77
132
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Papers
Spectral Learning of Shared Dynamics Between Generalized-Linear Processes
NeurIPS 2024
Stability and Generalizability in SDE Diffusion Models with Measure-Preserving Dynamics
NeurIPS 2024
Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data
ICLR 2024
State Space Models on Temporal Graphs: A First-Principles Study
NeurIPS 2024
Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces II: non-compact symmetric spaces
JMLR 2024
Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces I: the compact case
JMLR 2024
Stein Variational Ergodic Search
RSS 2024
Stochastic Approximation with Biased MCMC for Expectation Maximization
AISTATS 2024
Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling
AISTATS 2024
Stochastic Controlled Averaging for Federated Learning with Communication Compression
ICLR 2024
Stochastic Gradient Descent for Gaussian Processes Done Right
ICLR 2024
Stochastic Methods in Variational Inequalities: Ergodicity, Bias and Refinements
AISTATS 2024
Stochastic Modified Equations and Dynamics of Dropout Algorithm
ICLR 2024
Stochastic Modified Flows, Mean-Field Limits and Dynamics of Stochastic Gradient Descent
JMLR 2024
Stochastic Neural Simulator for Generalizing Dynamical Systems across Environments
IJCAI 2024
Stochastic Optimal Control for Diffusion Bridges in Function Spaces
NeurIPS 2024
Stochastic Optimization Schemes for Performative Prediction with Nonconvex Loss
NeurIPS 2024
Structural Inference of Dynamical Systems with Conjoined State Space Models
NeurIPS 2024
Subsampling Error in Stochastic Gradient Langevin Diffusions
AISTATS 2024
Surprise! Uniform Information Density Isn’t the Whole Story: Predicting Surprisal Contours in Long-form Discourse
EMNLP 2024
Symplectic Neural Gaussian Processes for Meta-learning Hamiltonian Dynamics
IJCAI 2024
Tackling the Data Heterogeneity in Asynchronous Federated Learning with Cached Update Calibration
ICLR 2024
TaD: A Plug-and-Play Task-Aware Decoding Method to Better Adapt LLMs on Downstream Tasks
IJCAI 2024
Taming Mode Collapse in Score Distillation for Text-to-3D Generation
CVPR 2024
Temporal Graph ODEs for Irregularly-Sampled Time Series
IJCAI 2024