Convex Optimization

Accelerated Mirror Descent for Non-Euclidean Star-convex Functions ALT 2026 A Convex Framework for Confounding Robust Inference JMLR 2026 Adaptive Learning Rates with Surrogate Probability for Follow-the-Perturbed-Leader COLT 2026 An accelerated proximal bundle method for convex optimization L4DC 2026 Clipping the Price of Adaptivity at the Tail COLT 2026 Complexity of Vector-valued Prediction: From Linear Models to Stochastic Convex Optimization ALT 2026 Functional Stochastic Localization COLT 2026 Gradient-Variation Regret Bounds for Unconstrained Online Learning COLT 2026 Improving EV Aggregate Flexibility with End-to-End Learning L4DC 2026 Learning-Based Resilient Interval Observers for Nonlinear Discrete-Time Bounded-Error Systems L4DC 2026 Nearly Linear-Time User-Level DP-SCO with Optimal Rates COLT 2026 Self-Concordant Perturbations for Linear Bandits COLT 2026 Subgradient Method for System Identification with Non-Smooth Objectives L4DC 2026 Towards Convexity in Anomaly Detection: A New Formulation of SSLM with Unique Optimal Solutions JMLR 2026 Characterizing the Accuracy-Communication-Privacy Trade-off in Distributed Stochastic Convex Optimization AISTATS 2025 Exploiting Hidden Symmetry to Improve Objective Perturbation for DP Linear Learners with a Nonsmooth L1-Norm ICLR 2025 Fast and Reliable $N - k$ Contingency Screening with Input-Convex Neural Networks L4DC 2025 Generalization Lower Bounds for GD and SGD in Smooth Stochastic Convex Optimization AISTATS 2025 MixMax: Distributional Robustness in Function Space via Optimal Data Mixtures ICLR 2025 On the Inherent Privacy of Zeroth-Order Projected Gradient Descent AISTATS 2025 Optimistic Safety for Online Convex Optimization with Unknown Linear Constraints AISTATS 2025 Tight Analysis of Difference-of-Convex Algorithm (DCA) Improves Convergence Rates for Proximal Gradient Descent AISTATS 2025 Bounding causal effects with leaky instruments UAI 2024 Mirror Descent Algorithms with Nearly Dimension-Independent Rates for Differentially-Private Stochastic Saddle-Point Problems extended abstract COLT 2024 Near-Optimal Solutions of Constrained Learning Problems ICLR 2024