Optimization

A Single-Loop Gradient Descent and Perturbed Ascent Algorithm for Nonconvex Functional Constrained Optimization ICML 2022 A Single-timescale Analysis for Stochastic Approximation with Multiple Coupled Sequences NeurIPS 2022 A Single-Timescale Method for Stochastic Bilevel Optimization AISTATS 2022 A Solver-free Framework for Scalable Learning in Neural ILP Architectures NeurIPS 2022 A Stochastic Bundle Method for Interpolation JMLR 2022 A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization NeurIPS 2022 A Stochastic Momentum Accelerated Quasi-Newton Method for Neural Networks (Student Abstract) AAAI 2022 A Stochastic Multi-Rate Control Framework For Modeling Distributed Optimization Algorithms ICML 2022 A Strengthened Branch and Bound Algorithm for the Maximum Common (Connected) Subgraph Problem IJCAI 2022 Asymptotically Unbiased Instance-wise Regularized Partial AUC Optimization: Theory and Algorithm NeurIPS 2022 Asymptotic Network Independence and Step-Size for a Distributed Subgradient Method JMLR 2022 Asymptotics of ℓ_2 Regularized Network Embeddings NeurIPS 2022 Asymptotic Study of Stochastic Adaptive Algorithms in Non-convex Landscape JMLR 2022 Asynchronous Distributed Optimization with Stochastic Delays AISTATS 2022 A Theoretical Framework for Inference Learning NeurIPS 2022 Attacking Video Recognition Models with Bullet-Screen Comments AAAI 2022 Augmenting Operations Research with Auto-Formulation of Optimization Models From Problem Descriptions EMNLP 2022 A Unified Convergence Theorem for Stochastic Optimization Methods NeurIPS 2022 A Unified Framework for Adversarial Attack and Defense in Constrained Feature Space IJCAI 2022 A Unified Framework for Deep Symbolic Regression NeurIPS 2022 A Unified Framework for Implicit Sinkhorn Differentiation CVPR 2022 A Unified View of SDP-based Neural Network Verification through Completely Positive Programming AISTATS 2022 A Unified Wasserstein Distributional Robustness Framework for Adversarial Training ICLR 2022 A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural Networks ICML 2022 A Unifying Framework for Variance-Reduced Algorithms for Findings Zeroes of Monotone operators JMLR 2022