Optimization
17,731 papers
Papers per year
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64
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92
117
146
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377
337
350
415
546
768
1,185
1,385
1,651
1,697
2,026
2,683
2,825
673
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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