conftrace_
← Optimization & Theory
Machine Learning › Optimization & Theory ›

Stochastic Processes

2,667 papers

Papers per year

2
30
60
244
157
'05
'10
'15
'20
'25

Papers

On Unbiased Estimation for Partially Observed Diffusions JMLR 2024
ptwt - The PyTorch Wavelet Toolbox JMLR 2024
Nonasymptotic analysis of Stochastic Gradient Hamiltonian Monte Carlo under local conditions for nonconvex optimization JMLR 2024
Faster Rates of Differentially Private Stochastic Convex Optimization JMLR 2024
Kernel Thinning JMLR 2024
On the Computational Complexity of Metropolis-Adjusted Langevin Algorithms for Bayesian Posterior Sampling JMLR 2024
Simple Cycle Reservoirs are Universal JMLR 2024
Grokking phase transitions in learning local rules with gradient descent JMLR 2024
Parallel-in-Time Probabilistic Numerical ODE Solvers JMLR 2024
Risk Measures and Upper Probabilities: Coherence and Stratification JMLR 2024
Law of Large Numbers and Central Limit Theorem for Wide Two-layer Neural Networks: The Mini-Batch and Noisy Case JMLR 2024
A Framework for Improving the Reliability of Black-box Variational Inference JMLR 2024
Improved Random Features for Dot Product Kernels JMLR 2024
Memory of recurrent networks: Do we compute it right? JMLR 2024
Tensor-train methods for sequential state and parameter learning in state-space models JMLR 2024
Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces I: the compact case JMLR 2024
Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces II: non-compact symmetric spaces JMLR 2024
Measuring Sample Quality in Algorithms for Intractable Normalizing Function Problems JMLR 2024
Just Wing It: Near-Optimal Estimation of Missing Mass in a Markovian Sequence JMLR 2024
GGD: Grafting Gradient Descent JMLR 2024
PROMISE: Preconditioned Stochastic Optimization Methods by Incorporating Scalable Curvature Estimates JMLR 2024
Virtual-Event-Based Posterior Sampling and Inference for Neyman-Scott Processes JMLR 2024
Fisher information dissipation for time-inhomogeneous stochastic differential equations JMLR 2024
Infinite-Dimensional Diffusion Models JMLR 2024
Physics-informed Neural Networks with Unknown Measurement Noise L4DC 2024