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Stochastic Processes

2667 directly classified papers

Papers per year

Papers

Solving General Noisy Inverse Problem via Posterior Sampling: A Policy Gradient Viewpoint AISTATS 2024
Scalable Meta-Learning with Gaussian Processes AISTATS 2024
QGym: Scalable Simulation and Benchmarking of Queuing Network Controllers NIPS 2024
Central Limit Theorem for Two-Timescale Stochastic Approximation with Markovian Noise: Theory and Applications AISTATS 2024
Exploiting the Replay Memory Before Exploring the Environment: Enhancing Reinforcement Learning Through Empirical MDP Iteration NIPS 2024
Infinite-Dimensional Diffusion Models JMLR 2024
Neural Persistence Dynamics NIPS 2024
TaD: A Plug-and-Play Task-Aware Decoding Method to Better Adapt LLMs on Downstream Tasks IJCAI 2024
The surprising efficiency of temporal difference learning for rare event prediction NIPS 2024
Random Oscillators Network for Time Series Processing AISTATS 2024
Temporal Graph ODEs for Irregularly-Sampled Time Series IJCAI 2024
Symplectic Neural Gaussian Processes for Meta-learning Hamiltonian Dynamics IJCAI 2024
Accelerating Distributed Stochastic Optimization via Self-Repellent Random Walks ICLR 2024
Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry (Extended Abstract) IJCAI 2024
Sequential Monte Carlo for Inclusive KL Minimization in Amortized Variational Inference AISTATS 2024
An Analytic Solution to Covariance Propagation in Neural Networks AISTATS 2024
Balancing Context Length and Mixing Times for Reinforcement Learning at Scale NIPS 2024
Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement EMNLP 2024
Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems NIPS 2024
Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces II: non-compact symmetric spaces JMLR 2024
Improved High-Probability Bounds for the Temporal Difference Learning Algorithm via Exponential Stability COLT 2024
Data-Driven Confidence Intervals with Optimal Rates for the Mean of Heavy-Tailed Distributions AISTATS 2024
Performative Control for Linear Dynamical Systems NIPS 2024
KEHRL: Learning Knowledge-Enhanced Language Representations with Hierarchical Reinforcement Learning COLING 2024
Incorporating Exponential Smoothing into MLP: a Simple but Effective Sequence Model NAACL 2024