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Convex Optimization

589 directly classified papers

Papers per year

Papers

On Regularized Square-root Regression Problems: Distributionally Robust Interpretation and Fast Computations JMLR 2022
Extensions to the Proximal Distance Method of Constrained Optimization JMLR 2022
Solving L1-regularized SVMs and Related Linear Programs: Revisiting the Effectiveness of Column and Constraint Generation JMLR 2022
Clustering with Semidefinite Programming and Fixed Point Iteration JMLR 2022
Zeroth-Order Methods for Convex-Concave Min-max Problems: Applications to Decision-Dependent Risk Minimization AISTATS 2022
On Acceleration for Convex Composite Minimization with Noise-Corrupted Gradients and Approximate Proximal Mapping JMLR 2022
Data-driven Control of Unknown Linear Systems via Quantized Feedback L4DC 2022
NaturalInversion: Data-Free Image Synthesis Improving Real-World Consistency AAAI 2022
On Low-rank Trace Regression under General Sampling Distribution JMLR 2022
Project and Forget: Solving Large-Scale Metric Constrained Problems JMLR 2022
Towards An Efficient Approach for the Nonconvex lp Ball Projection: Algorithm and Analysis JMLR 2022
Nesterov Accelerated Shuffling Gradient Method for Convex Optimization ICML 2022
Adaptively Partitioning Max-Affine Estimators for Convex Regression AISTATS 2022
On the Practical Robustness of the Nesterov’s Accelerated Quasi-Newton Method AAAI 2022
Efficiently Factorizing Boolean Matrices using Proximal Gradient Descent NIPS 2022
CoNSoLe: Convex Neural Symbolic Learning NIPS 2022
Convexity Certificates from Hessians NIPS 2022
Exact Optimal Accelerated Complexity for Fixed-Point Iterations ICML 2022
Bregman Proximal Langevin Monte Carlo via Bregman-Moreau Envelopes ICML 2022
Functional Output Regression with Infimal Convolution: Exploring the Huber and $ε$-insensitive Losses ICML 2022
Optimal Anonymous Independent Reward Scheme Design IJCAI 2022
Adaptive Accelerated (Extra-)Gradient Methods with Variance Reduction ICML 2022
Safe Online Convex Optimization with Unknown Linear Safety Constraints AAAI 2022
Joint Inference of Multiple Graphs from Matrix Polynomials JMLR 2022
First-Order Convex Fitting and Its Application to Economics and Optimization AAAI 2022