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Stochastic Processes

373 directly classified papers

Papers per year

Papers

DPPy: DPP Sampling with Python JMLR 2019
Concentration of risk measures: A Wasserstein distance approach NIPS 2019
On two ways to use determinantal point processes for Monte Carlo integration NIPS 2019
Neural Jump Stochastic Differential Equations NIPS 2019
McDiarmid-Type Inequalities for Graph-Dependent Variables and Stability Bounds NIPS 2019
Learning Multiple Markov Chains via Adaptive Allocation NIPS 2019
Sliced Gromov-Wasserstein NIPS 2019
Log-concave sampling: Metropolis-Hastings algorithms are fast JMLR 2019
Modelling Stopping Criteria for Search Results using Poisson Processes EMNLP 2019
Recurrent Poisson Process Unit for Speech Recognition AAAI 2019
Exploiting Graph Regularized Multi-dimensional Hawkes Processes for Modeling Events with Spatio-temporal Characteristics IJCAI 2018
INITIATOR: Noise-contrastive Estimation for Marked Temporal Point Process IJCAI 2018
Differential Equations for Modeling Asynchronous Algorithms IJCAI 2018
A Fast and Accurate Method for Estimating People Flow from Spatiotemporal Population Data IJCAI 2018
Discrete Interventions in Hawkes Processes with Applications in Invasive Species Management IJCAI 2018
Biased Random Walk based Social Regularization for Word Embeddings IJCAI 2018
Efficient Symbolic Integration for Probabilistic Inference IJCAI 2018
Stochastic Wasserstein Barycenters ICML 2018
Ranking Distributions based on Noisy Sorting ICML 2018
Learning Localized Spatio-Temporal Models From Streaming Data ICML 2018
Z-Transforms and its Inference on Partially Observable Point Processes IJCAI 2018
Incremental Computation of Infix Probabilities for Probabilistic Finite Automata EMNLP 2018
Geometrically Coupled Monte Carlo Sampling NIPS 2018
Exponentiated Strongly Rayleigh Distributions NIPS 2018
Modelling sparsity, heterogeneity, reciprocity and community structure in temporal interaction data NIPS 2018