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Stochastic Processes

2667 directly classified papers

Papers per year

Papers

Uncovering Causality from Multivariate Hawkes Integrated Cumulants ICML 2017
Dynamic Word Embeddings ICML 2017
Deep Latent Dirichlet Allocation with Topic-Layer-Adaptive Stochastic Gradient Riemannian MCMC ICML 2017
Variational Inference for Sparse and Undirected Models ICML 2017
Bidirectional Learning for Time-series Models with Hidden Units ICML 2017
Stochastic Recurrent Neural Network for Speech Recognition INTERSPEECH 2017
CTC in the Context of Generalized Full-Sum HMM Training INTERSPEECH 2017
Dictionary Learning Based on Sparse Distribution Tomography ICML 2017
A Birth-Death Process for Feature Allocation ICML 2017
Learning Stable Stochastic Nonlinear Dynamical Systems ICML 2017
Conditional Accelerated Lazy Stochastic Gradient Descent ICML 2017
DDoS Event Forecasting using Twitter Data IJCAI 2017
Estimating the size of search trees by sampling with domain knowledge IJCAI 2017
A Robust Noise Resistant Algorithm for POI Identification from Flickr Data IJCAI 2017
Probabilistic Line Searches for Stochastic Optimization JMLR 2017
Second-Order Stochastic Optimization for Machine Learning in Linear Time JMLR 2017
Efficient Sampling from Time-Varying Log-Concave Distributions JMLR 2017
Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization JMLR 2017
On Markov chain Monte Carlo methods for tall data JMLR 2017
Bayesian Learning of Dynamic Multilayer Networks JMLR 2017
WALKING WALKing walking: Action Recognition from Action Echoes IJCAI 2017
Fast Change Point Detection on Dynamic Social Networks IJCAI 2017
COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Evolution JMLR 2017
Particle Gibbs Split-Merge Sampling for Bayesian Inference in Mixture Models JMLR 2017
Disambiguating Energy Disaggregation: A Collective Probabilistic Approach IJCAI 2017