Stochastic Processes

Nonconvex sampling with the Metropolis-adjusted Langevin algorithm COLT 2019 Online Markov Decoding: Lower Bounds and Near-Optimal Approximation Algorithms NeurIPS 2019 On two ways to use determinantal point processes for Monte Carlo integration NeurIPS 2019 Optimal Transport: Fast Probabilistic Approximation with Exact Solvers JMLR 2019 Real-Time Robotic Search using Structural Spatial Point Processes UAI 2019 Recurrent Poisson Process Unit for Speech Recognition AAAI 2019 Size of Interventional Markov Equivalence Classes in random DAG models AISTATS 2019 Sliced Gromov-Wasserstein NeurIPS 2019 State Aggregation Learning from Markov Transition Data NeurIPS 2019 The pywmi Framework and Toolbox for Probabilistic Inference using Weighted Model Integration IJCAI 2019 Thinning for Accelerating the Learning of Point Processes NeurIPS 2019 Variational Optimization Based Reinforcement Learning for Infinite Dimensional Stochastic Systems CoRL 2019 Accelerated Spectral Ranking ICML 2018 A Fast and Accurate Method for Estimating People Flow from Spatiotemporal Population Data IJCAI 2018 An ℓ_∞ Eigenvector Perturbation Bound and Its Application JMLR 2018 Biased Random Walk based Social Regularization for Word Embeddings IJCAI 2018 Concentration inequalities for empirical processes of linear time series JMLR 2018 Differential Equations for Modeling Asynchronous Algorithms IJCAI 2018 Discrete Interventions in Hawkes Processes with Applications in Invasive Species Management IJCAI 2018 Efficient Symbolic Integration for Probabilistic Inference IJCAI 2018 Exploiting Graph Regularized Multi-dimensional Hawkes Processes for Modeling Events with Spatio-temporal Characteristics IJCAI 2018 Exploiting Stochasticity for the Control of Transitions in Gyre Flows RSS 2018 Exponentiated Strongly Rayleigh Distributions NeurIPS 2018 Fast MCMC Sampling Algorithms on Polytopes JMLR 2018 Geometrically Coupled Monte Carlo Sampling NeurIPS 2018