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Stochastic Processes

2667 directly classified papers

Papers per year

Papers

A Novel Approach for Longitudinal Modeling of Aging Health and Predicting Mortality Rates AAAI 2024
Learning World Models for Unconstrained Goal Navigation NIPS 2024
Partial observation can induce mechanistic mismatches in data-constrained models of neural dynamics NIPS 2024
A Greedy Approximation for k-Determinantal Point Processes AISTATS 2024
Back to the Continuous Attractor NIPS 2024
Universal Exact Compression of Differentially Private Mechanisms NIPS 2024
Intrinsic Gaussian Vector Fields on Manifolds AISTATS 2024
Decomposable Transformer Point Processes NIPS 2024
Protected Test-Time Adaptation via Online Entropy Matching: A Betting Approach NIPS 2024
Temporal Graph ODEs for Irregularly-Sampled Time Series IJCAI 2024
Quantifying Unintended Memorization in BEST-RQ ASR Encoders INTERSPEECH 2024
Information Association for Language Model Updating by Mitigating LM-Logical Discrepancy CONLL 2024
Probabilistic ODE solvers for integration error-aware numerical optimal control L4DC 2024
Characterizing the Confidence of Large Language Model-Based Automatic Evaluation Metrics EACL 2024
Deep Learning for Computing Convergence Rates of Markov Chains NIPS 2024
Provable Posterior Sampling with Denoising Oracles via Tilted Transport NIPS 2024
Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning NIPS 2024
Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion NIPS 2024
Performative Control for Linear Dynamical Systems NIPS 2024
Log-concave Sampling from a Convex Body with a Barrier: a Robust and Unified Dikin Walk NIPS 2024
Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems NIPS 2024
Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference NIPS 2024
Mean-Field Langevin Dynamics for Signed Measures via a Bilevel Approach NIPS 2024
Constrained Sampling with Primal-Dual Langevin Monte Carlo NIPS 2024
Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective NIPS 2024