Stochastic Processes

Consistent Model-based Clustering using the Quasi-Bernoulli Stick-breaking Process JMLR 2023 Constant Matters: Fine-grained Error Bound on Differentially Private Continual Observation ICML 2023 Contexts can be Cheap: Solving Stochastic Contextual Bandits with Linear Bandit Algorithms COLT 2023 Contextual Linear Bandits under Noisy Features: Towards Bayesian Oracles AISTATS 2023 ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling NeurIPS 2023 Continuous Parametric Optical Flow NeurIPS 2023 Continuous PDE Dynamics Forecasting with Implicit Neural Representations ICLR 2023 Convergence of First-Order Methods for Constrained Nonconvex Optimization with Dependent Data ICML 2023 Convergence of mean-field Langevin dynamics: time-space discretization, stochastic gradient, and variance reduction NeurIPS 2023 Convergence of Stein Variational Gradient Descent under a Weaker Smoothness Condition AISTATS 2023 Covariance-adaptive best arm identification NeurIPS 2023 Data Banzhaf: A Robust Data Valuation Framework for Machine Learning AISTATS 2023 Data-Driven Invariant Learning for Probabilistic Programs (Extended Abstract) IJCAI 2023 Data-driven memory-dependent abstractions of dynamical systems L4DC 2023 Data-driven Stochastic Output-Feedback Predictive Control: Recursive Feasibility through Interpolated Initial Conditions L4DC 2023 Debiasing Conditional Stochastic Optimization NeurIPS 2023 Decentralized Stochastic Bilevel Optimization with Improved per-Iteration Complexity ICML 2023 Decentralized Stochastic Multi-Player Multi-Armed Walking Bandits AAAI 2023 Deep Hashing-based Dynamic Stock Correlation Estimation via Normalizing Flow IJCAI 2023 Deep Latent Regularity Network for Modeling Stochastic Partial Differential Equations AAAI 2023 Deep Momentum Multi-Marginal Schrödinger Bridge NeurIPS 2023 Deep Neural Networks with Dependent Weights: Gaussian Process Mixture Limit, Heavy Tails, Sparsity and Compressibility JMLR 2023 Deep Stochastic Processes via Functional Markov Transition Operators NeurIPS 2023 Deep Value Function Networks for Large-Scale Multistage Stochastic Programs AISTATS 2023 Denoising Diffusion Samplers ICLR 2023