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Convex Optimization

589 directly classified papers

Papers per year

Papers

Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation NIPS 2011
Linearized Alternating Direction Method with Adaptive Penalty for Low-Rank Representation NIPS 2011
Revisiting MAP Estimation, Message Passing and Perfect Graphs AISTATS 2011
Convex envelopes of complexity controlling penalties: the case against premature envelopment AISTATS 2011
Follow-the-Regularized-Leader and Mirror Descent: Equivalence Theorems and L1 Regularization AISTATS 2011
Improved Regret Guarantees for Online Smooth Convex Optimization with Bandit Feedback AISTATS 2011
Information Theoretical Clustering via Semidefinite Programming AISTATS 2011
Relaxed Clipping: A Global Training Method for Robust Regression and Classification NIPS 2010
A Primal-Dual Message-Passing Algorithm for Approximated Large Scale Structured Prediction NIPS 2010
Large-Scale Matrix Factorization with Missing Data under Additional Constraints NIPS 2010
On the Convexity of Latent Social Network Inference NIPS 2010
Throttling Poisson Processes NIPS 2010
Practical Large-Scale Optimization for Max-norm Regularization NIPS 2010
A Family of Penalty Functions for Structured Sparsity NIPS 2010
Fast global convergence rates of gradient methods for high-dimensional statistical recovery NIPS 2010
Random Conic Pursuit for Semidefinite Programming NIPS 2010
Robust PCA via Outlier Pursuit NIPS 2010
Lower Bounds on Rate of Convergence of Cutting Plane Methods NIPS 2010
t-logistic regression NIPS 2010
Generalized roof duality and bisubmodular functions NIPS 2010
Convex Structure Learning in Log-Linear Models: Beyond Pairwise Potentials AISTATS 2010
Analysis of SVM with Indefinite Kernels NIPS 2009
On the Algorithmics and Applications of a Mixed-norm based Kernel Learning Formulation NIPS 2009
Fast Image Deconvolution using Hyper-Laplacian Priors NIPS 2009
A General Projection Property for Distribution Families NIPS 2009