Stochastic Processes

Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations ICML 2019 FilterReg: Robust and Efficient Probabilistic Point-Set Registration Using Gaussian Filter and Twist Parameterization CVPR 2019 Finding the bandit in a graph: Sequential search-and-stop AISTATS 2019 Finite-Time Error Bounds For Linear Stochastic Approximation andTD Learning COLT 2019 First Exit Time Analysis of Stochastic Gradient Descent Under Heavy-Tailed Gradient Noise NeurIPS 2019 Flow-based Image-to-Image Translation with Feature Disentanglement NeurIPS 2019 Function Space Particle Optimization for Bayesian Neural Networks ICLR 2019 Gain estimation of linear dynamical systems using Thompson Sampling AISTATS 2019 Gaussian Process Modulated Cox Processes under Linear Inequality Constraints AISTATS 2019 Generative Modeling by Estimating Gradients of the Data Distribution NeurIPS 2019 Geometric Hawkes Processes with Graph Convolutional Recurrent Neural Networks AAAI 2019 Goal-Oriented End-to-End Conversational Models with Profile Features in a Real-World Setting NAACL 2019 GO Gradient for Expectation-Based Objectives ICLR 2019 Gradient-based Adaptive Markov Chain Monte Carlo NeurIPS 2019 Graph Convolutional Gaussian Processes ICML 2019 Hamiltonian Monte Carlo with Energy Conserving Subsampling JMLR 2019 Hierarchical Discrete Distribution Decomposition for Match Density Estimation CVPR 2019 Improving Law Enforcement Daily Deployment Through Machine Learning-Informed Optimization under Uncertainty IJCAI 2019 Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates NeurIPS 2019 Integer Discrete Flows and Lossless Compression NeurIPS 2019 Integrating Markov processes with structural causal modeling enables counterfactual inference in complex systems NeurIPS 2019 Investigation of Transformer Based Spelling Correction Model for CTC-Based End-to-End Mandarin Speech Recognition Interspeech 2019 Iterated Learning in Dynamic Social Networks JMLR 2019 Joint Manifold Diffusion for Combining Predictions on Decoupled Observations CVPR 2019 Kalman Filter, Sensor Fusion, and Constrained Regression: Equivalences and Insights NeurIPS 2019