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Stochastic Methods

2788 directly classified papers

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Papers

Minimax Adaptive Estimation of Nonparametric Hidden Markov Models JMLR 2016
Variational Tempering AISTATS 2016
Optimal Best Arm Identification with Fixed Confidence COLT 2016
Monte Carlo Markov Chain Algorithms for Sampling Strongly Rayleigh Distributions and Determinantal Point Processes COLT 2016
Scaling-up Empirical Risk Minimization: Optimization of Incomplete $U$-statistics JMLR 2016
Exact Inference on Gaussian Graphical Models of Arbitrary Topology using Path-Sums JMLR 2016
DSA: Decentralized Double Stochastic Averaging Gradient Algorithm JMLR 2016
Iterative Hessian Sketch: Fast and Accurate Solution Approximation for Constrained Least-Squares JMLR 2016
Improving Structure MCMC for Bayesian Networks through Markov Blanket Resampling JMLR 2016
On the Complexity of Best-Arm Identification in Multi-Armed Bandit Models JMLR 2016
A Statistical Perspective on Randomized Sketching for Ordinary Least-Squares JMLR 2016
Distributed Coordinate Descent Method for Learning with Big Data JMLR 2016
One Scan 1-Bit Compressed Sensing AISTATS 2016
Chained Gaussian Processes AISTATS 2016
Loss Bounds and Time Complexity for Speed Priors AISTATS 2016
Nonparametric Budgeted Stochastic Gradient Descent AISTATS 2016
Batch Bayesian Optimization via Local Penalization AISTATS 2016
Proximal Stochastic Methods for Nonsmooth Nonconvex Finite-Sum Optimization NIPS 2016
A Light Touch for Heavily Constrained SGD COLT 2016
Time-Varying Gaussian Process Bandit Optimization AISTATS 2016
A Linearly-Convergent Stochastic L-BFGS Algorithm AISTATS 2016
A General Optimization Framework for Multi-Document Summarization Using Genetic Algorithms and Swarm Intelligence COLING 2016
Adaptive Skills Adaptive Partitions (ASAP) NIPS 2016
Quantum Perceptron Models NIPS 2016
Optimal Tagging with Markov Chain Optimization NIPS 2016