robust optimization

Robust Prompt Optimization for Large Language Models Against Distribution Shifts EMNLP 2023 Robust Satisficing MDPs ICML 2023 Robust Second-Order Nonconvex Optimization and Its Application to Low Rank Matrix Sensing NeurIPS 2023 Robust Sequence Networked Submodular Maximization AAAI 2023 Robust Temporal Smoothness in Multi-Task Learning AAAI 2023 Robust Variational Autoencoding with Wasserstein Penalty for Novelty Detection AISTATS 2023 Scalable and robust tensor ring decomposition for large-scale data UAI 2023 Semidefinite Relaxations for Robust Multiview Triangulation CVPR 2023 Solving multi-model MDPs by coordinate ascent and dynamic programming UAI 2023 Strong and Precise Modulation of Human Percepts via Robustified ANNs NeurIPS 2023 Temporal Robustness against Data poisoning NeurIPS 2023 Tighter Robust Upper Bounds for Options via No-Regret Learning AAAI 2023 Topology-aware Robust Optimization for Out-of-Distribution Generalization ICLR 2023 Towards Building More Robust Models with Frequency Bias ICCV 2023 Towards Robust and Safe Reinforcement Learning with Benign Off-policy Data ICML 2023 Train Hard, Fight Easy: Robust Meta Reinforcement Learning NeurIPS 2023 Unbalanced CO-optimal Transport AAAI 2023 Use perturbations when learning from explanations NeurIPS 2023 Wasserstein distributional robustness of neural networks NeurIPS 2023 Adaptive Energy Management for Self-Sustainable Wearables in Mobile Health AAAI 2022 A Novel Differentiable Mixed-Precision Quantization Search Framework for Alleviating the Matthew Effect and Improving Robustness ACML 2022 Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing ICLR 2022 Counterfactual Plans under Distributional Ambiguity ICLR 2022 Distributionally Robust Q-Learning ICML 2022 Efficient Robust Training via Backward Smoothing AAAI 2022