Convex Optimization
864 papers
Papers per year
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Papers
Affine Invariant Analysis of Frank-Wolfe on Strongly Convex Sets
ICML 2021
An online semi-definite programming with a generalised log-determinant regularizer and its applications
ACML 2021
A Quasiconvex Formulation for Radial Cameras
CVPR 2021
A Riemannian Block Coordinate Descent Method for Computing the Projection Robust Wasserstein Distance
ICML 2021
A Scalable Second Order Method for Ill-Conditioned Matrix Completion from Few Samples
ICML 2021
A Surrogate Objective Framework for Prediction+Programming with Soft Constraints
NeurIPS 2021
Black-Box Reductions for Zeroth-Order Gradient Algorithms to Achieve Lower Query Complexity
JMLR 2021
Chance-constrained quasi-convex optimization with application to data-driven switched systems control
L4DC 2021
Computing an Efficient Exploration Basis for Learning with Univariate Polynomial Features
AAAI 2021
Contextual Recommendations and Low-Regret Cutting-Plane Algorithms
NeurIPS 2021
Convex Regularization in Monte-Carlo Tree Search
ICML 2021
ConvexVST: A Convex Optimization Approach to Variance-stabilizing Transformation
ICML 2021
DeepLM: Large-Scale Nonlinear Least Squares on Deep Learning Frameworks Using Stochastic Domain Decomposition
CVPR 2021
Differentiating the Value Function by using Convex Duality
AISTATS 2021
Dueling Convex Optimization
ICML 2021
Efficient Bandit Convex Optimization: Beyond Linear Losses
COLT 2021
Efficient Empowerment Estimation for Unsupervised Stabilization
ICLR 2021
Exploiting Sparsity for Neural Network Verification
L4DC 2021
From Low Probability to High Confidence in Stochastic Convex Optimization
JMLR 2021
Globally Optimal Relative Pose Estimation With Gravity Prior
CVPR 2021
Gradient Descent Averaging and Primal-dual Averaging for Strongly Convex Optimization
AAAI 2021
Graphical Models in Heavy-Tailed Markets
NeurIPS 2021
Heavy Ball Momentum for Conditional Gradient
NeurIPS 2021
Improved Regret for Zeroth-Order Stochastic Convex Bandits
COLT 2021
Increasing Iterate Averaging for Solving Saddle-Point Problems
AAAI 2021