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Optimization & Theory

43,292 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Optimization (17,731) Learning Theory (6,809) Bayesian Inference (6,267) Theory (5,579) Statistical Learning (4,564) Neural Network Optimization (4,155) Stochastic Processes (2,948) Stochastic Methods (1,283) Loss Functions (1,220) Distributed Learning (1,202) Online Algorithms (1,013) Statistics (822) Generalization (376) Information Theory (370) Sample Complexity (282) Sparse Optimization (241) Game Theory (151) Convex Optimization (132) Optimal Transport (104) Robust Optimization (84) Distributed Optimization (73) Approximation Algorithms (33)

Papers per year

1
52
352
828
3,646
5,854
2000
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Papers (including subtopics)

CCuantuMM: Cycle-Consistent Quantum-Hybrid Matching of Multiple Shapes CVPR 2023 CDMA: A Practical Cross-Device Federated Learning Algorithm for General Minimax Problems AAAI 2023 CEM: Constrained Entropy Maximization for Task-Agnostic Safe Exploration AAAI 2023 Certifiable Out-of-Distribution Generalization AAAI 2023 Certifiably Robust Graph Contrastive Learning NeurIPS 2023 Certification of Distributional Individual Fairness NeurIPS 2023 Certified Defense for Content Based Image Retrieval WACV 2023 Certified Invertibility in Neural Networks via Mixed-Integer Programming L4DC 2023 Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization NeurIPS 2023 Certified Robust Neural Networks: Generalization and Corruption Resistance ICML 2023 Certifying Ensembles: A General Certification Theory with S-Lipschitzness ICML 2023 CGBA: Curvature-aware Geometric Black-box Attack ICCV 2023 CGS: Coupled Growth and Survival Model with Cohort Fairness IJCAI 2023 Challenging the “One Single Vector per Token” Assumption CoNLL 2023 Chanakya: Learning Runtime Decisions for Adaptive Real-Time Perception NeurIPS 2023 Character alignment methods for dialect-to-standard normalization ACL 2023 Characteristic Neural Ordinary Differential Equation ICLR 2023 Characterization and Learning of Causal Graphs with Small Conditioning Sets NeurIPS 2023 Characterization of Overfitting in Robust Multiclass Classification NeurIPS 2023 Characterizing Out-of-Distribution Error via Optimal Transport NeurIPS 2023 Characterizing the Impacts of Instances on Robustness ACL 2023 Characterizing the Influence of Graph Elements ICLR 2023 Characterizing the spectrum of the NTK via a power series expansion ICLR 2023 Chasing Clouds: Differentiable Volumetric Rasterisation of Point Clouds as a Highly Efficient and Accurate Loss for Large-Scale Deformable 3D Registration ICCV 2023 Chride at SemEval-2023 Task 10: Fine-tuned Deberta-V3 on Detection of Online Sexism with Hierarchical Loss SemEval 2023