Stochastic Processes

Batched High-dimensional Bayesian Optimization via Structural Kernel Learning ICML 2017 Bayesian Hilbert Maps for Dynamic Continuous Occupancy Mapping CoRL 2017 Bayesian Learning of Dynamic Multilayer Networks JMLR 2017 Bidirectional Learning for Time-series Models with Hidden Units ICML 2017 Black-box Importance Sampling AISTATS 2017 Boltzmann Exploration Done Right NeurIPS 2017 Cascade Dynamics Modeling with Attention-based Recurrent Neural Network IJCAI 2017 COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Evolution JMLR 2017 Collapsed variational Bayes for Markov jump processes NeurIPS 2017 Collect at Once, Use Effectively: Making Non-interactive Locally Private Learning Possible ICML 2017 Collecting Telemetry Data Privately NeurIPS 2017 Collisions as Information Sources in Densely Packed Multi-Robot Systems Under Mean-Field Approximations RSS 2017 Computer Assisted Composition with Recurrent Neural Networks ACML 2017 Conditional Accelerated Lazy Stochastic Gradient Descent ICML 2017 Consistent On-Line Off-Policy Evaluation ICML 2017 Convergence Rate of Stochastic k-means AISTATS 2017 CTC in the Context of Generalized Full-Sum HMM Training Interspeech 2017 DDoS Event Forecasting using Twitter Data IJCAI 2017 Deep Latent Dirichlet Allocation with Topic-Layer-Adaptive Stochastic Gradient Riemannian MCMC ICML 2017 Dictionary Learning Based on Sparse Distribution Tomography ICML 2017 Diffusion Approximations for Online Principal Component Estimation and Global Convergence NeurIPS 2017 Disambiguating Energy Disaggregation: A Collective Probabilistic Approach IJCAI 2017 Discovering Language in Marmoset Vocalization Interspeech 2017 Distribution of Gaussian Process Arc Lengths AISTATS 2017 Dynamic Weighted Majority for Incremental Learning of Imbalanced Data Streams with Concept Drift IJCAI 2017