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Convex Optimization

589 directly classified papers

Papers per year

Papers

Exact Inference in High-order Structured Prediction ICML 2023
Online Linearized LASSO AISTATS 2023
Leaky Hockey Stick Loss: The First Negatively Divergent Margin-based Loss Function for Classification JMLR 2023
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective ICML 2023
Rethinking Warm-Starts with Predictions: Learning Predictions Close to Sets of Optimal Solutions for Faster $\text{L}$-/$\text{L}^\natural$-Convex Function Minimization ICML 2023
Theoretical Bounds on the Network Community Profile from Low-rank Semi-definite Programming ICML 2023
Unifying Nesterov’s Accelerated Gradient Methods for Convex and Strongly Convex Objective Functions ICML 2023
Mirror Sinkhorn: Fast Online Optimization on Transport Polytopes ICML 2023
Constrained Optimization via Exact Augmented Lagrangian and Randomized Iterative Sketching ICML 2023
Accelerated Cyclic Coordinate Dual Averaging with Extrapolation for Composite Convex Optimization ICML 2023
Accelerated Primal-Dual Methods for Convex-Strongly-Concave Saddle Point Problems ICML 2023
Faster Projection-Free Augmented Lagrangian Methods via Weak Proximal Oracle AISTATS 2023
Gradient Descent Converges Linearly for Logistic Regression on Separable Data ICML 2023
Federated Online and Bandit Convex Optimization ICML 2023
Learning the Efficient Frontier NIPS 2023
Fast and Interpretable Dynamics for Fisher Markets via Block-Coordinate Updates AAAI 2023
Convex and Non-convex Optimization Under Generalized Smoothness NIPS 2023
Exact Optimal Accelerated Complexity for Fixed-Point Iterations ICML 2022
Faster Algorithms for Learning Convex Functions ICML 2022
Adaptive Accelerated (Extra-)Gradient Methods with Variance Reduction ICML 2022
Nesterov Accelerated Shuffling Gradient Method for Convex Optimization ICML 2022
Accelerating Adaptive Cubic Regularization of Newton's Method via Random Sampling JMLR 2022
Bregman Proximal Langevin Monte Carlo via Bregman-Moreau Envelopes ICML 2022
Pairwise Conditional Gradients without Swap Steps and Sparser Kernel Herding ICML 2022
On Regularized Square-root Regression Problems: Distributionally Robust Interpretation and Fast Computations JMLR 2022