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Stochastic Processes

2667 directly classified papers

Papers per year

Papers

On the Impacts of the Random Initialization in the Neural Tangent Kernel Theory NIPS 2024
Estimating Generalization Performance Along the Trajectory of Proximal SGD in Robust Regression NIPS 2024
Identifying Equivalent Training Dynamics NIPS 2024
Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces II: non-compact symmetric spaces JMLR 2024
Neuro-Symbolic Data Generation for Math Reasoning NIPS 2024
Kermut: Composite kernel regression for protein variant effects NIPS 2024
Robustness Verification of Deep Reinforcement Learning Based Control Systems Using Reward Martingales AAAI 2024
Global Convergence in Training Large-Scale Transformers NIPS 2024
Mean-Square Analysis of Discretized Itô Diffusions for Heavy-tailed Sampling JMLR 2024
On Unbiased Estimation for Partially Observed Diffusions JMLR 2024
Nonasymptotic analysis of Stochastic Gradient Hamiltonian Monte Carlo under local conditions for nonconvex optimization JMLR 2024
Generative Forests NIPS 2024
Kernel Thinning JMLR 2024
Optimizing Local Satisfaction of Long-Run Average Objectives in Markov Decision Processes AAAI 2024
Grokking phase transitions in learning local rules with gradient descent JMLR 2024
AutoPRM: Automating Procedural Supervision for Multi-Step Reasoning via Controllable Question Decomposition NAACL 2024
A Framework for Improving the Reliability of Black-box Variational Inference JMLR 2024
Bias in Motion: Theoretical Insights into the Dynamics of Bias in SGD Training NIPS 2024
Stein Variational Ergodic Search RSS 2024
Just Wing It: Near-Optimal Estimation of Missing Mass in a Markovian Sequence JMLR 2024
GGD: Grafting Gradient Descent JMLR 2024
eXponential FAmily Dynamical Systems (XFADS): Large-scale nonlinear Gaussian state-space modeling NIPS 2024
POAM: Probabilistic Online Attentive Mapping for Efficient Robotic Information Gathering RSS 2024
Characterizing the Confidence of Large Language Model-Based Automatic Evaluation Metrics EACL 2024
On Convergence of Adam for Stochastic Optimization under Relaxed Assumptions NIPS 2024