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Convex Optimization

589 directly classified papers

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Papers

Robust Policy Synthesis for Uncertain POMDPs via Convex Optimization IJCAI 2020
Entropic Optimal Transport between Unbalanced Gaussian Measures has a Closed Form NIPS 2020
Fenchel Lifted Networks: A Lagrange Relaxation of Neural Network Training AISTATS 2020
Conic Descent and its Application to Memory-efficient Optimization over Positive Semidefinite Matrices NIPS 2020
Online Neural Connectivity Estimation with Noisy Group Testing NIPS 2020
Learning Convex Optimization Control Policies L4DC 2020
An efficient nonconvex reformulation of stagewise convex optimization problems NIPS 2020
Better Full-Matrix Regret via Parameter-Free Online Learning NIPS 2020
Plug-and-Play Algorithms for Large-Scale Snapshot Compressive Imaging CVPR 2020
A Unified Optimization Framework for Low-Rank Inducing Penalties CVPR 2020
EiGLasso: Scalable Estimation of Cartesian Product of Sparse Inverse Covariance Matrices UAI 2020
Proximity Operator of the Matrix Perspective Function and its Applications NIPS 2020
A Simple and Efficient Smoothing Method for Faster Optimization and Local Exploration NIPS 2020
Learning Dynamical Systems with Side Information L4DC 2020
Exploiting Model Sparsity in Adaptive MPC: A Compressed Sensing Viewpoint L4DC 2020
Estimating Reachable Sets with Scenario Optimization L4DC 2020
A Catalyst Framework for Minimax Optimization NIPS 2020
Exploiting Higher Order Smoothness in Derivative-free Optimization and Continuous Bandits NIPS 2020
Efficient Projection-free Algorithms for Saddle Point Problems NIPS 2020
EA-CG: An Approximate Second-Order Method for Training Fully-Connected Neural Networks AAAI 2019
Learning (from) Deep Hierarchical Structure among Features AAAI 2019
Low-Rank Tensor Completion With a New Tensor Nuclear Norm Induced by Invertible Linear Transforms CVPR 2019
Radial Distortion Triangulation CVPR 2019
Lifted Hinge-Loss Markov Random Fields AAAI 2019
A Variational Pan-Sharpening With Local Gradient Constraints CVPR 2019