high-dimensional optimization

High Dimensional Bayesian Optimization using Dropout IJCAI 2017 High Dimensional Bayesian Optimization with Elastic Gaussian Process ICML 2017 High Dimensional Bayesian Optimisation and Bandits via Additive Models ICML 2015 Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse Optimization and Matrix Decomposition NeurIPS 2014 QUIC & DIRTY: A Quadratic Approximation Approach for Dirty Statistical Models NeurIPS 2014 BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables NeurIPS 2013 High-Dimensional Gaussian Process Bandits NeurIPS 2013 Recovering the Optimal Solution by Dual Random Projection COLT 2013 Statistical Optimization in High Dimensions AISTATS 2012 Stochastic optimization and sparse statistical recovery: Optimal algorithms for high dimensions NeurIPS 2012 Greedy Algorithms for Structurally Constrained High Dimensional Problems NeurIPS 2011 Nearest Neighbor based Greedy Coordinate Descent NeurIPS 2011