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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
Central Limit Theorem for Two-Timescale Stochastic Approximation with Markovian Noise: Theory and Applications AISTATS 2024
Negative-Binomial Randomized Gamma Dynamical Systems for Heterogeneous Overdispersed Count Time Sequences IJCAI 2024
Exploiting the Replay Memory Before Exploring the Environment: Enhancing Reinforcement Learning Through Empirical MDP Iteration NIPS 2024
Consistent3D: Towards Consistent High-Fidelity Text-to-3D Generation with Deterministic Sampling Prior CVPR 2024
The surprising efficiency of temporal difference learning for rare event prediction NIPS 2024
Random Oscillators Network for Time Series Processing AISTATS 2024
Accelerating Distributed Stochastic Optimization via Self-Repellent Random Walks ICLR 2024
Sequential Monte Carlo for Inclusive KL Minimization in Amortized Variational Inference AISTATS 2024
Decomposable Transformer Point Processes NIPS 2024
Faster Rates of Differentially Private Stochastic Convex Optimization JMLR 2024
An Analytic Solution to Covariance Propagation in Neural Networks AISTATS 2024
Robustness Verification of Deep Reinforcement Learning Based Control Systems Using Reward Martingales AAAI 2024
Balancing Context Length and Mixing Times for Reinforcement Learning at Scale NIPS 2024
ptwt - The PyTorch Wavelet Toolbox JMLR 2024
Adaptive importance sampling for heavy-tailed distributions via $α$-divergence minimization AISTATS 2024
On Feynman-Kac training of partial Bayesian neural networks AISTATS 2024
Adaptive Exploration for Data-Efficient General Value Function Evaluations NIPS 2024
Probabilistic Calibration by Design for Neural Network Regression AISTATS 2024
From Coupled Oscillators to Graph Neural Networks: Reducing Over-smoothing via a Kuramoto Model-based Approach AISTATS 2024
Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning NIPS 2024
Revisiting the Markov Property for Machine Translation EACL 2024
Linear Convergence of Black-Box Variational Inference: Should We Stick the Landing? AISTATS 2024
ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction NIPS 2024
Stochastic Optimal Control for Diffusion Bridges in Function Spaces NIPS 2024