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Stochastic Processes

2667 directly classified papers

Papers per year

Papers

Linear cost and exponentially convergent approximation of Gaussian Matérn processes on intervals JMLR 2025
TaD: A Plug-and-Play Task-Aware Decoding Method to Better Adapt LLMs on Downstream Tasks IJCAI 2024
Stochastic Approximation with Biased MCMC for Expectation Maximization AISTATS 2024
Negative-Binomial Randomized Gamma Dynamical Systems for Heterogeneous Overdispersed Count Time Sequences IJCAI 2024
Minimax Excess Risk of First-Order Methods for Statistical Learning with Data-Dependent Oracles AISTATS 2024
Revisiting the Noise Model of Stochastic Gradient Descent AISTATS 2024
Temporal Graph ODEs for Irregularly-Sampled Time Series IJCAI 2024
Generalization Bounds for Label Noise Stochastic Gradient Descent AISTATS 2024
Implicit Bias in Noisy-SGD: With Applications to Differentially Private Training AISTATS 2024
Why is parameter averaging beneficial in SGD? An objective smoothing perspective AISTATS 2024
F3Loc: Fusion and Filtering for Floorplan Localization CVPR 2024
Enabling Mixed Effects Neural Networks for Diverse, Clustered Data Using Monte Carlo Methods IJCAI 2024
Variational Gaussian Process Diffusion Processes AISTATS 2024
Stochastic Methods in Variational Inequalities: Ergodicity, Bias and Refinements AISTATS 2024
Symplectic Neural Gaussian Processes for Meta-learning Hamiltonian Dynamics IJCAI 2024
Distances for Markov Chains, and Their Differentiation ALT 2024
Consistent3D: Towards Consistent High-Fidelity Text-to-3D Generation with Deterministic Sampling Prior CVPR 2024
PROMISE: Preconditioned Stochastic Optimization Methods by Incorporating Scalable Curvature Estimates JMLR 2024
Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry (Extended Abstract) IJCAI 2024
Data-Adaptive Probabilistic Likelihood Approximation for Ordinary Differential Equations AISTATS 2024
Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces I: the compact case JMLR 2024
On Sensitivity of Learning with Limited Labelled Data to the Effects of Randomness: Impact of Interactions and Systematic Choices EMNLP 2024
Just Wing It: Near-Optimal Estimation of Missing Mass in a Markovian Sequence JMLR 2024
Robustness Verification of Deep Reinforcement Learning Based Control Systems Using Reward Martingales AAAI 2024
Virtual-Event-Based Posterior Sampling and Inference for Neyman-Scott Processes JMLR 2024