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Stochastic Processes

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Papers

Sampling from Arbitrary Functions via PSD Models AISTATS 2022
State Dependent Performative Prediction with Stochastic Approximation AISTATS 2022
A general sample complexity analysis of vanilla policy gradient AISTATS 2022
A Random Matrix Perspective on Mixtures of Nonlinearities in High Dimensions AISTATS 2022
Deep Neyman-Scott Processes AISTATS 2022
Lagrangian manifold Monte Carlo on Monge patches AISTATS 2022
Estimators of Entropy and Information via Inference in Probabilistic Models AISTATS 2022
Approximate Top-$m$ Arm Identification with Heterogeneous Reward Variances AISTATS 2022
Fast and Scalable Spike and Slab Variable Selection in High-Dimensional Gaussian Processes AISTATS 2022
Convergence of Langevin Monte Carlo in Chi-Squared and Rényi Divergence AISTATS 2022
Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization AISTATS 2022
Convergence of online k-means AISTATS 2022
Convex Analysis of the Mean Field Langevin Dynamics AISTATS 2022
Multivariate Quantile Function Forecaster AISTATS 2022
Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations AISTATS 2022
Differentiable Bayesian inference of SDE parameters using a pathwise series expansion of Brownian motion AISTATS 2022
Social Learning in Non-Stationary Environments ALT 2022
Universally Consistent Online Learning with Arbitrarily Dependent Responses ALT 2022
The Mirror Langevin Algorithm Converges with Vanishing Bias ALT 2022
Interactive rank testing by betting CLEAR 2022
Equality Constraints in Linear Hawkes Processes CLEAR 2022
Uncertainty-aware Propagation Structure Reconstruction for Fake News Detection COLING 2022
Mirror Descent Strikes Again: Optimal Stochastic Convex Optimization under Infinite Noise Variance COLT 2022
The Power of Adaptivity in SGD: Self-Tuning Step Sizes with Unbounded Gradients and Affine Variance COLT 2022
Universal Online Learning with Bounded Loss: Reduction to Binary Classification COLT 2022