convex optimization

Universality of AdaGrad Stepsizes for Stochastic Optimization: Inexact Oracle, Acceleration and Variance Reduction NeurIPS 2024 Unsupervised Model-Based Learning for Simultaneous Video Deflickering and Deblotching WACV 2024 Variational Gaussian Process Diffusion Processes AISTATS 2024 Wasserstein Proximal Coordinate Gradient Algorithms JMLR 2024 Weak Supervision Performance Evaluation via Partial Identification NeurIPS 2024 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 Accelerated Primal-Dual Mirror Dynamics for Centralized and Distributed Constrained Convex Optimization Problems JMLR 2023 Accelerated Zeroth-order Method for Non-Smooth Stochastic Convex Optimization Problem with Infinite Variance NeurIPS 2023 Acceleration of Frank-Wolfe Algorithms with Open-Loop Step-Sizes AISTATS 2023 A Conditional Gradient-based Method for Simple Bilevel Optimization with Convex Lower-level Problem AISTATS 2023 Adaptive SGD with Polyak stepsize and Line-search: Robust Convergence and Variance Reduction NeurIPS 2023 A Fast Optimistic Method for Monotone Variational Inequalities ICML 2023 A General Representation Learning Framework with Generalization Performance Guarantees ICML 2023 Algorithmic Aspects of the Log-Laplace Transform and a Non-Euclidean Proximal Sampler COLT 2023 Alternating Differentiation for Optimization Layers ICLR 2023 An Improved Approximation Algorithm for Wage Determination and Online Task Allocation in Crowd-Sourcing AAAI 2023 An Optimal and Scalable Matrix Mechanism for Noisy Marginals under Convex Loss Functions NeurIPS 2023 A Parameter-Free Conditional Gradient Method for Composite Minimization under Hölder Condition JMLR 2023 Approximate Vanishing Ideal Computations at Scale ICLR 2023 A Second-Order Method for Stochastic Bandit Convex Optimisation COLT 2023 A Unified Discretization Framework for Differential Equation Approach with Lyapunov Arguments for Convex Optimization NeurIPS 2023 A Unified Framework for Rank-based Loss Minimization NeurIPS 2023 A Variance-Reduced and Stabilized Proximal Stochastic Gradient Method with Support Identification Guarantees for Structured Optimization AISTATS 2023 A Variational Perspective on High-Resolution ODEs NeurIPS 2023