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Stochastic Processes

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Papers

Conditional Random Fields for the Tunisian Dialect Grapheme-to-Phoneme Conversion Interspeech 2016 Consistency and Fluctuations For Stochastic Gradient Langevin Dynamics JMLR 2016 Consistently Estimating Markov Chains with Noisy Aggregate Data AISTATS 2016 Convergence of Stochastic Gradient Descent for PCA ICML 2016 Deep Gaussian Processes for Regression using Approximate Expectation Propagation ICML 2016 Density Evolution in the Degree-correlated Stochastic Block Model COLT 2016 Directly Modeling Missing Data in Sequences with RNNs: Improved Classification of Clinical Time Series MLHC 2016 Early Stopping as Nonparametric Variational Inference AISTATS 2016 Efficient Computation of Gaussian Process Regression for Large Spatial Data Sets by Patching Local Gaussian Processes JMLR 2016 Efficient Sampling for k-Determinantal Point Processes AISTATS 2016 Efficient Thai Grapheme-to-Phoneme Conversion Using CRF-Based Joint Sequence Modeling Interspeech 2016 Ensuring Rapid Mixing and Low Bias for Asynchronous Gibbs Sampling ICML 2016 Estimating Maximum Expected Value through Gaussian Approximation ICML 2016 Hawkes Processes with Stochastic Excitations ICML 2016 HMM-Based Non-Native Accent Assessment Using Posterior Features Interspeech 2016 Improving PAC Exploration Using the Median Of Means NeurIPS 2016 Infinite Hidden Semi-Markov Modulated Interaction Point Process NeurIPS 2016 Input-Output Non-Linear Dynamical Systems applied to Physiological Condition Monitoring MLHC 2016 Isotonic Hawkes Processes ICML 2016 Linear dynamical neural population models through nonlinear embeddings NeurIPS 2016 Markov-modulated Marked Poisson Processes for Check-in Data ICML 2016 Measuring the reliability of MCMC inference with bidirectional Monte Carlo NeurIPS 2016 Mixing Rates for the Alternating Gibbs Sampler over Restricted Boltzmann Machines and Friends ICML 2016 Mondrian Forests for Large-Scale Regression when Uncertainty Matters AISTATS 2016 Monte Carlo Markov Chain Algorithms for Sampling Strongly Rayleigh Distributions and Determinantal Point Processes COLT 2016