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Optimization

17,731 papers

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Papers

Robust Multiview Point Cloud Registration With Reliable Pose Graph Initialization and History Reweighting CVPR 2023 RobustNeRF: Ignoring Distractors With Robust Losses CVPR 2023 Robustness Guarantees for Adversarially Trained Neural Networks NeurIPS 2023 Robust Planning over Restless Groups: Engagement Interventions for a Large-Scale Maternal Telehealth Program AAAI 2023 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 Training for AC-OPF (Student Abstract) AAAI 2023 ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs ICLR 2023 ROME: Robustifying Memory-Efficient NAS via Topology Disentanglement and Gradient Accumulation ICCV 2023 Root Pose Decomposition Towards Generic Non-rigid 3D Reconstruction with Monocular Videos ICCV 2023 Rule Induction in Knowledge Graphs Using Linear Programming AAAI 2023 Runtime Analysis for the NSGA-II: Provable Speed-Ups from Crossover AAAI 2023 SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability ICCV 2023 Safe and Efficient Reinforcement Learning using Disturbance-Observer-Based Control Barrier Functions L4DC 2023 Same Pre-training Loss, Better Downstream: Implicit Bias Matters for Language Models ICML 2023 Sample Complexity for Quadratic Bandits: Hessian Dependent Bounds and Optimal Algorithms NeurIPS 2023 Sampling from Structured Log-Concave Distributions via a Soft-Threshold Dikin Walk NeurIPS 2023 Sampling with Mollified Interaction Energy Descent ICLR 2023 Sancus: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks (Extended Abstract) IJCAI 2023 Scalable Bayesian Optimization Using Vecchia Approximations of Gaussian Processes AISTATS 2023 Scalable Causal Discovery with Score Matching CLeaR 2023 Scalable Computation of Causal Bounds JMLR 2023