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Convex Optimization

589 directly classified papers

Papers per year

Papers

A Data Driven, Convex Optimization Approach to Learning Koopman Operators L4DC 2021
Differentiating the Value Function by using Convex Duality AISTATS 2021
Revisiting Projection-free Online Learning: the Strongly Convex Case AISTATS 2021
Globally Optimal Relative Pose Estimation With Gravity Prior CVPR 2021
A Quasiconvex Formulation for Radial Cameras CVPR 2021
Low-Rank Extragradient Method for Nonsmooth and Low-Rank Matrix Optimization Problems NIPS 2021
Semialgebraic Representation of Monotone Deep Equilibrium Models and Applications to Certification NIPS 2021
DeepLM: Large-Scale Nonlinear Least Squares on Deep Learning Frameworks Using Stochastic Domain Decomposition CVPR 2021
Contextual Recommendations and Low-Regret Cutting-Plane Algorithms NIPS 2021
Graphical Models in Heavy-Tailed Markets NIPS 2021
Heavy Ball Momentum for Conditional Gradient NIPS 2021
Exploiting Sparsity for Neural Network Verification L4DC 2021
Oblivious Sketching-based Central Path Method for Linear Programming ICML 2021
Primal-dual Learning for the Model-free Risk-constrained Linear Quadratic Regulator L4DC 2021
Three Operator Splitting with a Nonconvex Loss Function ICML 2021
Accelerated Learning with Robustness to Adversarial Regressors L4DC 2021
Chance-constrained quasi-convex optimization with application to data-driven switched systems control L4DC 2021
Adaptive First-Order Methods Revisited: Convex Minimization without Lipschitz Requirements NIPS 2021
Unifying Width-Reduced Methods for Quasi-Self-Concordant Optimization NIPS 2021
Three Operator Splitting with Subgradients, Stochastic Gradients, and Adaptive Learning Rates NIPS 2021
A Surrogate Objective Framework for Prediction+Programming with Soft Constraints NIPS 2021
A convex optimization formulation for multivariate regression NIPS 2020
Robust Policy Synthesis for Uncertain POMDPs via Convex Optimization IJCAI 2020
A Flexible Framework for Designing Trainable Priors with Adaptive Smoothing and Game Encoding NIPS 2020
Gradient Perturbation is Underrated for Differentially Private Convex Optimization IJCAI 2020