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Stochastic Processes

2667 directly classified papers

Papers per year

Papers

Autoregressive Networks JMLR 2023
A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generation EMNLP 2023
Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs with Applications JMLR 2023
GFlowNet Foundations JMLR 2023
Infinite-dimensional optimization and Bayesian nonparametric learning of stochastic differential equations JMLR 2023
Stochastic Optimization under Distributional Drift JMLR 2023
Knowledge Graph Embeddings using Neural Ito Process: From Multiple Walks to Stochastic Trajectories ACL 2023
HiGrad: Uncertainty Quantification for Online Learning and Stochastic Approximation JMLR 2023
On the geometry of Stein variational gradient descent JMLR 2023
Learning Mean-Field Games with Discounted and Average Costs JMLR 2023
BOLT: Fast Energy-based Controlled Text Generation with Tunable Biases ACL 2023
Maximizing the Probability of Fixation in the Positional Voter Model AAAI 2023
SwinRDM: Integrate SwinRNN with Diffusion Model towards High-Resolution and High-Quality Weather Forecasting AAAI 2023
Modeling User Satisfaction Dynamics in Dialogue via Hawkes Process ACL 2023
Stochastic Bridges as Effective Regularizers for Parameter-Efficient Tuning ACL 2023
Horizon-Free and Variance-Dependent Reinforcement Learning for Latent Markov Decision Processes ICML 2023
Quantum Multi-Armed Bandits and Stochastic Linear Bandits Enjoy Logarithmic Regrets AAAI 2023
CEM: Constrained Entropy Maximization for Task-Agnostic Safe Exploration AAAI 2023
LEAN-DMKDE: Quantum Latent Density Estimation for Anomaly Detection (Student Abstract) AAAI 2023
Sharp Variance-Dependent Bounds in Reinforcement Learning: Best of Both Worlds in Stochastic and Deterministic Environments ICML 2023
Convergence of mean-field Langevin dynamics: time-space discretization, stochastic gradient, and variance reduction NIPS 2023
Non-exponential Reward Discounting in Reinforcement Learning AAAI 2023
Theoretical Conditions and Empirical Failure of Bracket Counting on Long Sequences with Linear Recurrent Networks EACL 2023
Differentially Private Episodic Reinforcement Learning with Heavy-tailed Rewards ICML 2023
Feature learning via mean-field Langevin dynamics: classifying sparse parities and beyond NIPS 2023