Stochastic Methods

Multi Kernel Learning with Online-Batch Optimization JMLR 2012 Near-optimal Differentially Private Principal Components NeurIPS 2012 Non-parametric Approximate Dynamic Programming via the Kernel Method NeurIPS 2012 On Bayesian Upper Confidence Bounds for Bandit Problems AISTATS 2012 Online allocation and homogeneous partitioning for piecewise constant mean-approximation NeurIPS 2012 Online-to-Confidence-Set Conversions and Application to Sparse Stochastic Bandits AISTATS 2012 Optimal Regularized Dual Averaging Methods for Stochastic Optimization NeurIPS 2012 Optimization-Based Estimator Design for Vision-Aided Inertial Navigation RSS 2012 Query Complexity of Derivative-Free Optimization NeurIPS 2012 Quilting Stochastic Kronecker Product Graphs to Generate Multiplicative Attribute Graphs AISTATS 2012 Risk Aversion in Markov Decision Processes via Near Optimal Chernoff Bounds NeurIPS 2012 Risk-Aversion in Multi-armed Bandits NeurIPS 2012 Scalable Inference on Kingman’s Coalescent using Pair Similarity AISTATS 2012 Scalable nonconvex inexact proximal splitting NeurIPS 2012 Stochastic Gradient Descent with Only One Projection NeurIPS 2012 Stochastic optimization and sparse statistical recovery: Optimal algorithms for high dimensions NeurIPS 2012 Toward a Noncommutative Arithmetic-geometric Mean Inequality: Conjectures, Case-studies, and Consequences COLT 2012 Training sparse natural image models with a fast Gibbs sampler of an extended state space NeurIPS 2012 Trajectory-Based Short-Sighted Probabilistic Planning NeurIPS 2012 Accelerated Adaptive Markov Chain for Partition Function Computation NeurIPS 2011 A Cure for Variance Inflation in High Dimensional Kernel Principal Component Analysis JMLR 2011 A General Linear Non-Gaussian State-Space Model: Identifiability, Identification, and Applications ACML 2011 An Application of Tree-Structured Expectation Propagation for Channel Decoding NeurIPS 2011 An Empirical Evaluation of Thompson Sampling NeurIPS 2011 -Armed Bandits JMLR 2011