Convex Optimization

Statistical Performance of Convex Tensor Decomposition NeurIPS 2011 Stochastic convex optimization with bandit feedback NeurIPS 2011 Adaptive Multi-Task Lasso: with Application to eQTL Detection NeurIPS 2010 A Primal-Dual Message-Passing Algorithm for Approximated Large Scale Structured Prediction NeurIPS 2010 Convex Multiple-Instance Learning by Estimating Likelihood Ratio NeurIPS 2010 Efficient algorithms for learning kernels from multiple similarity matrices with general convex loss functions NeurIPS 2010 Efficient Optimization for Discriminative Latent Class Models NeurIPS 2010 On the Convexity of Latent Social Network Inference NeurIPS 2010 Robust PCA via Outlier Pursuit NeurIPS 2010 Dual Averaging Method for Regularized Stochastic Learning and Online Optimization NeurIPS 2009 Slow Learners are Fast NeurIPS 2009 A Convex Upper Bound on the Log-Partition Function for Binary Distributions NeurIPS 2008 An Extended Level Method for Efficient Multiple Kernel Learning NeurIPS 2008 Estimating Robust Query Models with Convex Optimization NeurIPS 2008 Exact Convex Confidence-Weighted Learning NeurIPS 2008 Improved Moves for Truncated Convex Models NeurIPS 2008 On the Efficient Minimization of Classification Calibrated Surrogates NeurIPS 2008 On the Generalization Ability of Online Strongly Convex Programming Algorithms NeurIPS 2008 Supervised Exponential Family Principal Component Analysis via Convex Optimization NeurIPS 2008 Adaptive Online Gradient Descent NeurIPS 2007 Bundle Methods for Machine Learning NeurIPS 2007 Convex Learning with Invariances NeurIPS 2007 Efficient Convex Relaxation for Transductive Support Vector Machine NeurIPS 2007 Efficient Inference for Distributions on Permutations NeurIPS 2007 Estimating divergence functionals and the likelihood ratio by penalized convex risk minimization NeurIPS 2007