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Convex Optimization

864 papers

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Papers

Non-Euclidean High-Order Smooth Convex Optimization Extended Abstract COLT 2025 Nonparametric Distributional Regression via Quantile Regression AISTATS 2025 On Linear Convergence in Smooth Convex-Concave Bilinearly-Coupled Saddle-Point Optimization: Lower Bounds and Optimal Algorithms ICML 2025 Online Learning of Quantum States with Logarithmic Loss via VB-FTRL ALT 2025 On the Convergence of Tâtonnement for Linear Fisher Markets AAAI 2025 Optimal and Efficient Algorithms for Decentralized Online Convex Optimization JMLR 2025 Optimal Decentralized Composite Optimization for Strongly Convex Functions JMLR 2025 Optimizing $(L_0, L_1)$-Smooth Functions by Gradient Methods ICLR 2025 Privacy-Preserving Federated Convex Optimization: Balancing Partial-Participation and Efficiency via Noise Cancellation ICML 2025 QP Based Constrained Optimization for Reliable PINN Training L4DC 2025 Rank-one Convexification for Sparse Regression JMLR 2025 Rapid Overfitting of Multi-Pass SGD in Stochastic Convex Optimization ICML 2025 Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss ICML 2025 Safe Online Convex Optimization with Heavy-Tailed Observation Noises AAAI 2025 Second-Order Min-Max Optimization with Lazy Hessians ICLR 2025 Self-Directed Node Classification on Graphs ALT 2025 Sketch-and-Project Meets Newton Method: Global $O(1/k^2)$ Convergence with Low-Rank Updates AISTATS 2025 Sketching for Convex and Nonconvex Regularized Least Squares with Sharp Guarantees ICLR 2025 Solving Convex-Concave Problems with O(ε^-4/7) Second-Order Oracle Complexity COLT 2025 Solving Zero-Sum Convex Markov Games ICML 2025 Stochastic Interior-Point Methods for Smooth Conic Optimization with Applications JMLR 2025 Streaming Algorithms For ℓ_p Flows and ℓ_p Regression ICLR 2025 Structured Preconditioners in Adaptive Optimization: A Unified Analysis ICML 2025 Tensor-Var: Efficient Four-Dimensional Variational Data Assimilation ICML 2025 The Dimension Strikes Back with Gradients: Generalization of Gradient Methods in Stochastic Convex Optimization ALT 2025