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Continuous Optimization

3,907 papers

Papers per year

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Papers

Discovering Point Lights With Intensity Distance Fields CVPR 2018
Algorithmic Regularization in Learning Deep Homogeneous Models: Layers are Automatically Balanced NIPS 2018
Low-rank Interaction with Sparse Additive Effects Model for Large Data Frames NIPS 2018
Geometric Multi-Model Fitting With a Convex Relaxation Algorithm CVPR 2018
Theoretical Linear Convergence of Unfolded ISTA and Its Practical Weights and Thresholds NIPS 2018
Efficient Convex Optimization with Membership Oracles COLT 2018
Distributing Frank-Wolfe via Map-Reduce IJCAI 2018
A Robust Learning Approach for Regression Models Based on Distributionally Robust Optimization JMLR 2018
Level-Set Methods for Finite-Sum Constrained Convex Optimization ICML 2018
Learning without the Phase: Regularized PhaseMax Achieves Optimal Sample Complexity NIPS 2018
A Two-Stage Penalized Least Squares Method for Constructing Large Systems of Structural Equations JMLR 2018
Differential Equations for Modeling Asynchronous Algorithms IJCAI 2018
A Constructive Approach to $L_0$ Penalized Regression JMLR 2018
Stein Points ICML 2018
Solving lp-norm regularization with tensor kernels AISTATS 2018
Averaging Stochastic Gradient Descent on Riemannian Manifolds COLT 2018
Stochastic Zeroth-order Optimization in High Dimensions AISTATS 2018
Smoothed analysis for low-rank solutions to semidefinite programs in quadratic penalty form COLT 2018
Efficient Projection onto the Perfect Phylogeny Model NIPS 2018
DAGs with NO TEARS: Continuous Optimization for Structure Learning NIPS 2018
Fast and Sample Efficient Inductive Matrix Completion via Multi-Phase Procrustes Flow ICML 2018
Optimization for Approximate Submodularity NIPS 2018
Discrete-Continuous ADMM for Transductive Inference in Higher-Order MRFs CVPR 2018
Short-term Sparse Portfolio Optimization Based on Alternating Direction Method of Multipliers JMLR 2018
Expectation-Maximization Algorithms for Itakura-Saito Nonnegative Matrix Factorization INTERSPEECH 2018