Mathematics & Optimization

On Undisputed Sets in Abstract Argumentation AAAI 2023 On Universal Portfolios with Continuous Side Information AISTATS 2023 On User-Level Private Convex Optimization ICML 2023 Open Problem: Is There a First-Order Method that Only Converges to Local Minimax Optima? COLT 2023 Open problem: log(n) factor in "Local Glivenko-Cantelli" COLT 2023 Open Problem: Polynomial linearly-convergent method for g-convex optimization? COLT 2023 Operation-Level Early Stopping for Robustifying Differentiable NAS NeurIPS 2023 Operator learning with PCA-Net: upper and lower complexity bounds JMLR 2023 Opinion Optimization in Directed Social Networks AAAI 2023 Opposite Online Learning via Sequentially Integrated Stochastic Gradient Descent Estimators AAAI 2023 OPT-GAN: A Broad-Spectrum Global Optimizer for Black-Box Problems by Learning Distribution AAAI 2023 Optimal Algorithms for the Inhomogeneous Spiked Wigner Model NeurIPS 2023 Optimal Anytime Coalition Structure Generation Utilizing Compact Solution Space Representation IJCAI 2023 Optimal Arms Identification with Knapsacks ICML 2023 Optimal Block-wise Asymmetric Graph Construction for Graph-based Semi-supervised Learning NeurIPS 2023 Optimal Contextual Bandits with Knapsacks under Realizability via Regression Oracles AISTATS 2023 Optimal Convergence Rates for Distributed Nystroem Approximation JMLR 2023 Optimal cross-learning for contextual bandits with unknown context distributions NeurIPS 2023 Optimal Decision Diagrams for Classification AAAI 2023 Optimal Excess Risk Bounds for Empirical Risk Minimization on p-Norm Linear Regression NeurIPS 2023 Optimal Execution via Multi-Objective Multi-Armed Bandits (Student Abstract) AAAI 2023 Optimal Extragradient-Based Algorithms for Stochastic Variational Inequalities with Separable Structure NeurIPS 2023 Optimal Guarantees for Algorithmic Reproducibility and Gradient Complexity in Convex Optimization NeurIPS 2023 Optimality in Mean Estimation: Beyond Worst-Case, Beyond Sub-Gaussian, and Beyond 1+α Moments NeurIPS 2023 Optimal Learners for Realizable Regression: PAC Learning and Online Learning NeurIPS 2023