Stochastic Processes

A Convergence Theory for SVGD in the Population Limit under Talagrand’s Inequality T1 ICML 2022 Active Labeling: Streaming Stochastic Gradients NeurIPS 2022 Adapting Neural Models with Sequential Monte Carlo Dropout CoRL 2022 Adapting to Mixing Time in Stochastic Optimization with Markovian Data ICML 2022 Adaptively Exploiting d-Separators with Causal Bandits NeurIPS 2022 A Data-Augmentation Is Worth A Thousand Samples: Analytical Moments And Sampling-Free Training NeurIPS 2022 A General Analysis of Example-Selection for Stochastic Gradient Descent ICLR 2022 A general sample complexity analysis of vanilla policy gradient AISTATS 2022 AI Facilitated Isolations? The Impact of Recommendation-based Influence Diffusion in Human Society IJCAI 2022 A Langevin-like Sampler for Discrete Distributions ICML 2022 A mutually exciting latent space Hawkes process model for continuous-time networks UAI 2022 An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context NeurIPS 2022 Analysis of Stochastic Processes through Replay Buffers ICML 2022 An Efficient Sampling Algorithm for Non-smooth Composite Potentials JMLR 2022 A Non-asymptotic Analysis of Non-parametric Temporal-Difference Learning NeurIPS 2022 Approaching Quartic Convergence Rates for Quasi-Stochastic Approximation with Application to Gradient-Free Optimization NeurIPS 2022 Approximate Top-m Arm Identification with Heterogeneous Reward Variances AISTATS 2022 A Random Matrix Perspective on Mixtures of Nonlinearities in High Dimensions AISTATS 2022 A Sharp Memory-Regret Trade-off for Multi-Pass Streaming Bandits COLT 2022 A Single-timescale Analysis for Stochastic Approximation with Multiple Coupled Sequences NeurIPS 2022 A Statistical Online Inference Approach in Averaged Stochastic Approximation NeurIPS 2022 Asymptotic Network Independence and Step-Size for a Distributed Subgradient Method JMLR 2022 Asymptotic Study of Stochastic Adaptive Algorithms in Non-convex Landscape JMLR 2022 A time-resolved theory of information encoding in recurrent neural networks NeurIPS 2022 A Unified Convergence Theorem for Stochastic Optimization Methods NeurIPS 2022