Stochastic Processes

Large-scale spectral clustering using diffusion coordinates on landmark-based bipartite graphs NAACL 2018 Layerwise Systematic Scan: Deep Boltzmann Machines and Beyond AISTATS 2018 Learning an Embedding Space for Transferable Robot Skills ICLR 2018 Learning Hidden Markov Models from Pairwise Co-occurrences with Application to Topic Modeling ICML 2018 Learning Latent Semantic Annotations for Grounding Natural Language to Structured Data EMNLP 2018 Learning latent variable structured prediction models with Gaussian perturbations NeurIPS 2018 Learning Localized Spatio-Temporal Models From Streaming Data ICML 2018 Learning Overparameterized Neural Networks via Stochastic Gradient Descent on Structured Data NeurIPS 2018 Learning unknown ODE models with Gaussian processes ICML 2018 Linear Stochastic Approximation: How Far Does Constant Step-Size and Iterate Averaging Go? AISTATS 2018 Local Convergence Properties of SAGA/Prox-SVRG and Acceleration ICML 2018 Local Optimality and Generalization Guarantees for the Langevin Algorithm via Empirical Metastability COLT 2018 Log-concave sampling: Metropolis-Hastings algorithms are fast! COLT 2018 Matrix Norms in Data Streams: Faster, Multi-Pass and Row-Order ICML 2018 Modeling "Presentness" of Electronic Health Record Data to Improve Patient State Estimation MLHC 2018 Modelling sparsity, heterogeneity, reciprocity and community structure in temporal interaction data NeurIPS 2018 Multi-armed Bandits with Compensation NeurIPS 2018 Natural Gradients in Practice: Non-Conjugate Variational Inference in Gaussian Process Models AISTATS 2018 Nebula: F0 Estimation and Voicing Detection by Modeling the Statistical Properties of Feature Extractors Interspeech 2018 New Insight into Hybrid Stochastic Gradient Descent: Beyond With-Replacement Sampling and Convexity NeurIPS 2018 Nonparametric Bayesian sparse graph linear dynamical systems AISTATS 2018 Nonparametric learning from Bayesian models with randomized objective functions NeurIPS 2018 Not All Samples Are Created Equal: Deep Learning with Importance Sampling ICML 2018 On Generalized Bellman Equations and Temporal-Difference Learning JMLR 2018 Online Adaptive Methods, Universality and Acceleration NeurIPS 2018