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Stochastic Methods

2,788 papers

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Papers

A Linearly-Convergent Stochastic L-BFGS Algorithm AISTATS 2016
Time-Varying Gaussian Process Bandit Optimization AISTATS 2016
Batch Bayesian Optimization via Local Penalization AISTATS 2016
Nonparametric Budgeted Stochastic Gradient Descent AISTATS 2016
Variational Tempering AISTATS 2016
(Bandit) Convex Optimization with Biased Noisy Gradient Oracles AISTATS 2016
Pseudo-Marginal Slice Sampling AISTATS 2016
AdaDelay: Delay Adaptive Distributed Stochastic Optimization AISTATS 2016
Bridging the Gap between Stochastic Gradient MCMC and Stochastic Optimization AISTATS 2016
Determinantal Regularization for Ensemble Variable Selection AISTATS 2016
Consistently Estimating Markov Chains with Noisy Aggregate Data AISTATS 2016
Loss Bounds and Time Complexity for Speed Priors AISTATS 2016
Chained Gaussian Processes AISTATS 2016
One Scan 1-Bit Compressed Sensing AISTATS 2016
A General Optimization Framework for Multi-Document Summarization Using Genetic Algorithms and Swarm Intelligence COLING 2016
Monte Carlo Markov Chain Algorithms for Sampling Strongly Rayleigh Distributions and Determinantal Point Processes COLT 2016
A Light Touch for Heavily Constrained SGD COLT 2016
Optimal Best Arm Identification with Fixed Confidence COLT 2016
Streaming PCA: Matching Matrix Bernstein and Near-Optimal Finite Sample Guarantees for Oja’s Algorithm COLT 2016
Learning Simple Auctions COLT 2016
Best-of-K-bandits COLT 2016
Social LSTM: Human Trajectory Prediction in Crowded Spaces CVPR 2016
Pairwise Matching Through Max-Weight Bipartite Belief Propagation CVPR 2016
A Consensus-Based Framework for Distributed Bundle Adjustment CVPR 2016
Highway Vehicle Counting in Compressed Domain CVPR 2016