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Optimization

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Papers

Robust Action Gap Increasing with Clipped Advantage Learning AAAI 2022 Robust computation of optimal transport by $β$-potential regularization ACML 2022 Robust Distributed Accelerated Stochastic Gradient Methods for Multi-Agent Networks JMLR 2022 Robust Estimation of Laplacian Constrained Gaussian Graphical Models with Trimmed Non-convex Regularization PGM 2022 Robust Federated Learning With Noisy and Heterogeneous Clients CVPR 2022 Robust Group Synchronization via Quadratic Programming ICML 2022 Robustification of Online Graph Exploration Methods AAAI 2022 Robust Imitation via Mirror Descent Inverse Reinforcement Learning NeurIPS 2022 Robust learning of tractable probabilistic models UAI 2022 Robustness Evaluation of Text Classification Models Using Mathematical Optimization and Its Application to Adversarial Training AACL 2022 Robustness to Unbounded Smoothness of Generalized SignSGD NeurIPS 2022 Robust Optimal Classification Trees against Adversarial Examples AAAI 2022 Robust Policy Learning over Multiple Uncertainty Sets ICML 2022 Robust SDE-Based Variational Formulations for Solving Linear PDEs via Deep Learning ICML 2022 Robust Single Image Dehazing Based on Consistent and Contrast-Assisted Reconstruction IJCAI 2022 Robust Sparse Mean Estimation via Sum of Squares COLT 2022 Robust Subset Selection by Greedy and Evolutionary Pareto Optimization IJCAI 2022 Robust Training in High Dimensions via Block Coordinate Geometric Median Descent AISTATS 2022 ROLLER: Fast and Efficient Tensor Compilation for Deep Learning OSDI 2022 ROOT-SGD: Sharp Nonasymptotics and Asymptotic Efficiency in a Single Algorithm COLT 2022 RORL: Robust Offline Reinforcement Learning via Conservative Smoothing NeurIPS 2022 ROSE: Robust Selective Fine-tuning for Pre-trained Language Models EMNLP 2022 R&R: Metric-guided Adversarial Sentence Generation AACL 2022 Safe Control Under Input Limits with Neural Control Barrier Functions CoRL 2022 Safe Control with Minimal Regret L4DC 2022