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Stochastic Processes

2,667 papers

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Papers

Collapsed variational Bayes for Markov jump processes NIPS 2017
Scalable Variational Inference for Dynamical Systems NIPS 2017
A Scale Free Algorithm for Stochastic Bandits with Bounded Kurtosis NIPS 2017
Bayesian Hilbert Maps for Dynamic Continuous Occupancy Mapping CORL 2017
Learning Dynamics Across Similar Spatiotemporally-Evolving Physical Systems CORL 2017
Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling ACL 2017
TextFlow: A Text Similarity Measure based on Continuous Sequences ACL 2017
Probabilistic Typology: Deep Generative Models of Vowel Inventories ACL 2017
Mini-batch Block-coordinate based Stochastic Average Adjusted Gradient Methods to Solve Big Data Problems ACML 2017
Computer Assisted Composition with Recurrent Neural Networks ACML 2017
A Mutually-Dependent Hadamard Kernel for Modelling Latent Variable Couplings ACML 2017
Annular Augmentation Sampling AISTATS 2017
Quantifying the accuracy of approximate diffusions and Markov chains AISTATS 2017
Least-Squares Log-Density Gradient Clustering for Riemannian Manifolds AISTATS 2017
Random projection design for scalable implicit smoothing of randomly observed stochastic processes AISTATS 2017
Markov Chain Truncation for Doubly-Intractable Inference AISTATS 2017
Unsupervised Sequential Sensor Acquisition AISTATS 2017
Black-box Importance Sampling AISTATS 2017
Linking Micro Event History to Macro Prediction in Point Process Models AISTATS 2017
Distribution of Gaussian Process Arc Lengths AISTATS 2017
Convergence Rate of Stochastic k-means AISTATS 2017
Automated Inference with Adaptive Batches AISTATS 2017
Parameter identification in Markov chain choice models ALT 2017
Nearly Optimal Sampling Algorithms for Combinatorial Pure Exploration COLT 2017
Towards Instance Optimal Bounds for Best Arm Identification COLT 2017