projected gradient descent

TEDDY: Trimming Edges with Degree-based Discrimination Strategy ICLR 2024 Bridge the Gap Between CV and NLP! A Gradient-based Textual Adversarial Attack Framework ACL 2023 Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability NeurIPS 2023 Distributionally Robust Recourse Action ICLR 2023 Equilibria of Fully Decentralized Learning in Networked Systems L4DC 2023 Fast Trainable Projection for Robust Fine-tuning NeurIPS 2023 InfoOT: Information Maximizing Optimal Transport ICML 2023 Learning Iterative Neural Optimizers for Image Steganography ICLR 2023 Online Performative Gradient Descent for Learning Nash Equilibria in Decision-Dependent Games NeurIPS 2023 Robustness Guarantees for Adversarially Trained Neural Networks NeurIPS 2023 Small Total-Cost Constraints in Contextual Bandits with Knapsacks, with Application to Fairness NeurIPS 2023 Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack ICML 2022 Geometry-Aware Guided Loss for Deep Crack Recognition CVPR 2022 Learning Bipartite Graphs: Heavy Tails and Multiple Components NeurIPS 2022 Pareto Policy Adaptation ICLR 2022 Projected Gradient Descent Algorithms for Solving Nonlinear Inverse Problems with Generative Priors IJCAI 2022 Real-Time Neural Voice Camouflage ICLR 2022 Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization ICML 2022 Safe Online Convex Optimization with Unknown Linear Safety Constraints AAAI 2022 Subspace Adversarial Training CVPR 2022 Understanding and Increasing Efficiency of Frank-Wolfe Adversarial Training CVPR 2022 A heuristic for statistical seriation UAI 2021 Distributed Zero-Order Optimization under Adversarial Noise NeurIPS 2021 Efficient Designs Of SLOPE Penalty Sequences In Finite Dimension AISTATS 2021 Learning by Turning: Neural Architecture Aware Optimisation ICML 2021