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Convex Optimization

589 directly classified papers

Papers per year

Papers

Extra-Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods NIPS 2022
Joint Inference of Multiple Graphs from Matrix Polynomials JMLR 2022
An Algorithm for Learning Switched Linear Dynamics from Data NIPS 2022
A Fast Globally Linearly Convergent Algorithm for the Computation of Wasserstein Barycenters JMLR 2021
Globally Optimal Relative Pose Estimation With Gravity Prior CVPR 2021
From Low Probability to High Confidence in Stochastic Convex Optimization JMLR 2021
A Quasiconvex Formulation for Radial Cameras CVPR 2021
DeepLM: Large-Scale Nonlinear Least Squares on Deep Learning Frameworks Using Stochastic Domain Decomposition CVPR 2021
Sparse and Smooth Signal Estimation: Convexification of L0-Formulations JMLR 2021
Adaptive Gradient Methods for Constrained Convex Optimization and Variational Inequalities AAAI 2021
Accelerated Algorithms for Smooth Convex-Concave Minimax Problems with O(1/k^2) Rate on Squared Gradient Norm ICML 2021
ConvexVST: A Convex Optimization Approach to Variance-stabilizing Transformation ICML 2021
Three Operator Splitting with a Nonconvex Loss Function ICML 2021
Increasing Iterate Averaging for Solving Saddle-Point Problems AAAI 2021
Smooth Convex Optimization Using Sub-Zeroth-Order Oracles AAAI 2021
Oblivious Sketching-based Central Path Method for Linear Programming ICML 2021
Gradient Descent Averaging and Primal-dual Averaging for Strongly Convex Optimization AAAI 2021
Low Resource Quadratic Forms for Knowledge Graph Embeddings EMNLP 2021
Computing an Efficient Exploration Basis for Learning with Univariate Polynomial Features AAAI 2021
Learning with semi-definite programming: statistical bounds based on fixed point analysis and excess risk curvature JMLR 2021
Transforms Based Tensor Robust PCA: Corrupted Low-Rank Tensors Recovery via Convex Optimization ICCV 2021
ADOM: Accelerated Decentralized Optimization Method for Time-Varying Networks ICML 2021
On a Combination of Alternating Minimization and Nesterov’s Momentum ICML 2021
Acceleration via Fractal Learning Rate Schedules ICML 2021
A Riemannian Block Coordinate Descent Method for Computing the Projection Robust Wasserstein Distance ICML 2021