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Implicit Differentiation by Perturbation NIPS 2010
Efficient Minimization of Decomposable Submodular Functions NIPS 2010
Network Flow Algorithms for Structured Sparsity NIPS 2010
Structured sparsity-inducing norms through submodular functions NIPS 2010
Natural Policy Gradient Methods with Parameter-based Exploration for Control Tasks NIPS 2010
Online Learning in The Manifold of Low-Rank Matrices NIPS 2010
MAP Estimation for Graphical Models by Likelihood Maximization NIPS 2010
Distributionally Robust Markov Decision Processes NIPS 2010
Convex Multiple-Instance Learning by Estimating Likelihood Ratio NIPS 2010
Learning Polyhedral Classifiers Using Logistic Function ACML 2010
Ellipsoidal Support Vector Machines ACML 2010
Inductive Principles for Restricted Boltzmann Machine Learning AISTATS 2010
Sufficient Dimension Reduction via Squared-loss Mutual Information Estimation AISTATS 2010
Polynomial-Time Exact Inference in NP-Hard Binary MRFs via Reweighted Perfect Matching AISTATS 2010
Convex Structure Learning in Log-Linear Models: Beyond Pairwise Potentials AISTATS 2010
A Regularization Approach to Nonlinear Variable Selection AISTATS 2010
Exploiting Covariate Similarity in Sparse Regression via the Pairwise Elastic Net AISTATS 2010
Descent Methods for Tuning Parameter Refinement AISTATS 2010
The Feature Selection Path in Kernel Methods AISTATS 2010
A Smoothed Approximate Linear Program NIPS 2009
Matrix Completion from Power-Law Distributed Samples NIPS 2009
On Stochastic and Worst-case Models for Investing NIPS 2009
Asymptotically Optimal Regularization in Smooth Parametric Models NIPS 2009
$L_1$-Penalized Robust Estimation for a Class of Inverse Problems Arising in Multiview Geometry NIPS 2009
A Game-Theoretic Approach to Hypergraph Clustering NIPS 2009