← Optimization & Theory
Machine Learning › Optimization & Theory ›

Stochastic Processes

2667 directly classified papers

Papers per year

Papers

Phase Vocoder For Time Stretch Based On Center Frequency Estimation INTERSPEECH 2022
Typological Word Order Correlations with Logistic Brownian Motion NAACL 2022
JB132 submission to the SIGMORPHON 2022 Shared Task 3 on Morphological Segmentation NAACL 2022
Modeling Ideological Salience and Framing in Polarized Online Groups with Graph Neural Networks and Structured Sparsity NAACL 2022
Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-Resolution WACV 2022
MisConv: Convolutional Neural Networks for Missing Data WACV 2022
Asymptotic Network Independence and Step-Size for a Distributed Subgradient Method JMLR 2022
Logarithmic Regret for Episodic Continuous-Time Linear-Quadratic Reinforcement Learning over a Finite-Time Horizon JMLR 2022
Stochastic Zeroth-Order Optimization under Nonstationarity and Nonconvexity JMLR 2022
Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization AISTATS 2022
Differentiable Bayesian inference of SDE parameters using a pathwise series expansion of Brownian motion AISTATS 2022
Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations AISTATS 2022
Multivariate Quantile Function Forecaster AISTATS 2022
Fast and Scalable Spike and Slab Variable Selection in High-Dimensional Gaussian Processes AISTATS 2022
Estimators of Entropy and Information via Inference in Probabilistic Models AISTATS 2022
Common Failure Modes of Subcluster-based Sampling in Dirichlet Process Gaussian Mixture Models - and a Deep-learning Solution AISTATS 2022
Shuffle Private Linear Contextual Bandits ICML 2022
Score-Guided Intermediate Level Optimization: Fast Langevin Mixing for Inverse Problems ICML 2022
Adapting to Mixing Time in Stochastic Optimization with Markovian Data ICML 2022
Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes ICML 2022
Statistical inference with implicit SGD: proximal Robbins-Monro vs. Polyak-Ruppert ICML 2022
Power-Law Escape Rate of SGD ICML 2022
LSB: Local Self-Balancing MCMC in Discrete Spaces ICML 2022
Distributionally-Aware Kernelized Bandit Problems for Risk Aversion ICML 2022
Beyond Worst-Case Analysis in Stochastic Approximation: Moment Estimation Improves Instance Complexity ICML 2022