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Convex Optimization

591 papers

Papers per year

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Papers

Learning Positive Functions with Pseudo Mirror Descent NIPS 2019
Fast and Provable ADMM for Learning with Generative Priors NIPS 2019
Trajectory of Alternating Direction Method of Multipliers and Adaptive Acceleration NIPS 2019
Globally Convergent Newton Methods for Ill-conditioned Generalized Self-concordant Losses NIPS 2019
A Polynomial Time Algorithm for Log-Concave Maximum Likelihood via Locally Exponential Families NIPS 2019
UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization NIPS 2019
An Embedding Framework for Consistent Polyhedral Surrogates NIPS 2019
Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing NIPS 2019
A unified variance-reduced accelerated gradient method for convex optimization NIPS 2019
Stochastic Frank-Wolfe for Composite Convex Minimization NIPS 2019
Hamiltonian descent for composite objectives NIPS 2019
Fast Decomposable Submodular Function Minimization using Constrained Total Variation NIPS 2019
Universality in Learning from Linear Measurements NIPS 2019
On the Curved Geometry of Accelerated Optimization NIPS 2019
Outlier Detection and Robust PCA Using a Convex Measure of Innovation NIPS 2019
Primal-Dual Block Generalized Frank-Wolfe NIPS 2019
Online Convex Matrix Factorization with Representative Regions NIPS 2019
On Sampling Complexity of the Semidefinite Affine Rank Feasibility Problem AAAI 2019
EA-CG: An Approximate Second-Order Method for Training Fully-Connected Neural Networks AAAI 2019
Learning (from) Deep Hierarchical Structure among Features AAAI 2019
Lifted Hinge-Loss Markov Random Fields AAAI 2019
Gaussian Regression with Convex Constraints AISTATS 2019
Optimization of Inf-Convolution Regularized Nonconvex Composite Problems AISTATS 2019
Minimum Volume Topic Modeling AISTATS 2019
Lower Bounds for Parallel and Randomized Convex Optimization COLT 2019