conftrace_
← Optimization & Theory
Machine Learning › Optimization & Theory ›

Optimization

14,983 papers

Papers per year

18
112
342
1289
1646
'05
'10
'15
'20
'25

Papers

Symbolic Opportunistic Policy Iteration for Factored-Action MDPs NIPS 2013
Least Informative Dimensions NIPS 2013
Data-driven Distributionally Robust Polynomial Optimization NIPS 2013
Non-strongly-convex smooth stochastic approximation with convergence rate O(1/n) NIPS 2013
Learning Efficient Random Maximum A-Posteriori Predictors with Non-Decomposable Loss Functions NIPS 2013
q-OCSVM: A q-Quantile Estimator for High-Dimensional Distributions NIPS 2013
Fantope Projection and Selection: A near-optimal convex relaxation of sparse PCA NIPS 2013
Variational Planning for Graph-based MDPs NIPS 2013
Distributed Submodular Maximization: Identifying Representative Elements in Massive Data NIPS 2013
Bellman Error Based Feature Generation using Random Projections on Sparse Spaces NIPS 2013
Matrix Completion From any Given Set of Observations NIPS 2013
The Total Variation on Hypergraphs - Learning on Hypergraphs Revisited NIPS 2013
Lasso Screening Rules via Dual Polytope Projection NIPS 2013
Dirty Statistical Models NIPS 2013
Exact and Stable Recovery of Pairwise Interaction Tensors NIPS 2013
High-Dimensional Gaussian Process Bandits NIPS 2013
Generalizing Analytic Shrinkage for Arbitrary Covariance Structures NIPS 2013
Online Robust PCA via Stochastic Optimization NIPS 2013
Scalable Influence Estimation in Continuous-Time Diffusion Networks NIPS 2013
Polar Operators for Structured Sparse Estimation NIPS 2013
Direct 0-1 Loss Minimization and Margin Maximization with Boosting NIPS 2013
Marginals-to-Models Reducibility NIPS 2013
Sketching Structured Matrices for Faster Nonlinear Regression NIPS 2013
Variance Reduction for Stochastic Gradient Optimization NIPS 2013
On Decomposing the Proximal Map NIPS 2013