Optimization

Online Convex Optimization with Unbounded Memory NeurIPS 2023 Online estimation of similarity matrices with incomplete data UAI 2023 Online Harmonizing Gradient Descent for Imbalanced Data Streams One-Pass Classification IJCAI 2023 Online Learning Guided Curvature Approximation: A Quasi-Newton Method with Global Non-Asymptotic Superlinear Convergence COLT 2023 Online Learning with Feedback Graphs: The True Shape of Regret ICML 2023 Online Learning with Off-Policy Feedback ALT 2023 Online Nonconvex Optimization with Limited Instantaneous Oracle Feedback COLT 2023 Online Nonstochastic Control with Adversarial and Static Constraints ICML 2023 Online Nonstochastic Model-Free Reinforcement Learning NeurIPS 2023 Online PCA in Converging Self-consistent Field Equations NeurIPS 2023 Online Platforms and the Fair Exposure Problem under Homophily AAAI 2023 Online Pricing for Multi-User Multi-Item Markets NeurIPS 2023 Online Stochastic Gradient Descent with Arbitrary Initialization Solves Non-smooth, Non-convex Phase Retrieval JMLR 2023 On Penalty-based Bilevel Gradient Descent Method ICML 2023 On quantum backpropagation, information reuse, and cheating measurement collapse NeurIPS 2023 On Regularization and Inference with Label Constraints ICML 2023 On Representing Linear Programs by Graph Neural Networks ICLR 2023 On Sample-Efficient Code Generation EMNLP 2023 On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image Diagnosis MIDL 2023 On the Accelerated Noise-Tolerant Power Method AISTATS 2023 On the Adversarial Robustness of Out-of-distribution Generalization Models NeurIPS 2023 On the complexity of nonsmooth automatic differentiation ICLR 2023 On the Convergence of AdaGrad(Norm) on R^d: Beyond Convexity, Non-Asymptotic Rate and Acceleration ICLR 2023 On the Convergence of Distributed Stochastic Bilevel Optimization Algorithms over a Network AISTATS 2023 On the Convergence of Gradient Flow on Multi-layer Linear Models ICML 2023