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