Stochastic Processes

Zero-shot Model-based Reinforcement Learning using Large Language Models ICLR 2025 Zipf’s and Heaps’ Laws for Tokens and LLM-generated Texts EMNLP 2025 t^3-Variational Autoencoder: Learning Heavy-tailed Data with Student's t and Power Divergence ICLR 2024 3D Gaussian Splatting as Markov Chain Monte Carlo NeurIPS 2024 A Behavior-Aware Approach for Deep Reinforcement Learning in Non-stationary Environments without Known Change Points IJCAI 2024 A Cause-Effect Look at Alleviating Hallucination of Knowledge-grounded Dialogue Generation COLING 2024 Accelerated Convergence of Stochastic Heavy Ball Method under Anisotropic Gradient Noise ICLR 2024 Accelerating Approximate Thompson Sampling with Underdamped Langevin Monte Carlo AISTATS 2024 Accelerating Distributed Stochastic Optimization via Self-Repellent Random Walks ICLR 2024 Accurate Forgetting for Heterogeneous Federated Continual Learning ICLR 2024 A Comparison of Continuous-Time Approximations to Stochastic Gradient Descent JMLR 2024 Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning NeurIPS 2024 Adam with model exponential moving average is effective for nonconvex optimization NeurIPS 2024 Adaptive Anytime Multi-Agent Path Finding Using Bandit-Based Large Neighborhood Search AAAI 2024 Adaptive Exploration for Data-Efficient General Value Function Evaluations NeurIPS 2024 Adaptive importance sampling for heavy-tailed distributions via $α$-divergence minimization AISTATS 2024 Adaptive Labeling for Efficient Out-of-distribution Model Evaluation NeurIPS 2024 Adaptivity of Diffusion Models to Manifold Structures AISTATS 2024 Addressing Bias in Online Selection with Limited Budget of Comparisons NeurIPS 2024 Adversarial Adaptive Sampling: Unify PINN and Optimal Transport for the Approximation of PDEs ICLR 2024 A Framework for Improving the Reliability of Black-box Variational Inference JMLR 2024 A Greedy Approximation for k-Determinantal Point Processes AISTATS 2024 A large deviations perspective on policy gradient algorithms L4DC 2024 An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness NeurIPS 2024 An Analysis of the Variance of Diffusion-based Speech Enhancement Interspeech 2024