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Stochastic Processes

2667 directly classified papers

Papers per year

Papers

Beyond Log-concavity: Provable Guarantees for Sampling Multi-modal Distributions using Simulated Tempering Langevin Monte Carlo NIPS 2018
Bandit Learning with Implicit Feedback NIPS 2018
Logistic Markov Decision Processes IJCAI 2017
Parameter identification in Markov chain choice models ALT 2017
Multiple Sound Source Counting and Localization Based on Spatial Principal Eigenvector INTERSPEECH 2017
Mini-batch Block-coordinate based Stochastic Average Adjusted Gradient Methods to Solve Big Data Problems ACML 2017
Stochastic Variance Reduction Methods for Policy Evaluation ICML 2017
Consistent On-Line Off-Policy Evaluation ICML 2017
Scalable Levy Process Priors for Spectral Kernel Learning NIPS 2017
On Thompson Sampling and Asymptotic Optimality IJCAI 2017
Adaptive Sampling Probabilities for Non-Smooth Optimization ICML 2017
Multi-Modal Mean-Fields via Cardinality-Based Clamping CVPR 2017
Temporal Dynamics of Lateral Channel Formation in /l/: 3D EMA Data from Australian English INTERSPEECH 2017
Why ADAGRAD Fails for Online Topic Modeling EMNLP 2017
Online Learning for Multivariate Hawkes Processes NIPS 2017
Learning spatiotemporal piecewise-geodesic trajectories from longitudinal manifold-valued data NIPS 2017
Model evidence from nonequilibrium simulations NIPS 2017
Variational Walkback: Learning a Transition Operator as a Stochastic Recurrent Net NIPS 2017
Bayesian Hilbert Maps for Dynamic Continuous Occupancy Mapping CORL 2017
The Scaling Limit of High-Dimensional Online Independent Component Analysis NIPS 2017
An Investigation of Emotion Dynamics and Kalman Filtering for Speech-Based Emotion Prediction INTERSPEECH 2017
Job Selection in a Network of Autonomous UAVs for Delivery of Goods RSS 2017
Learning Dynamics Across Similar Spatiotemporally-Evolving Physical Systems CORL 2017
Nearly Optimal Sampling Algorithms for Combinatorial Pure Exploration COLT 2017
Towards Instance Optimal Bounds for Best Arm Identification COLT 2017