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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)

Evaluating Readability and Faithfulness of Concept-based Explanations EMNLP 2024 Evaluating Saliency Explanations in NLP by Crowdsourcing COLING 2024 Evaluating Step-by-Step Reasoning through Symbolic Verification NAACL 2024 Evaluating Structural Generalization in Neural Machine Translation ACL 2024 Evaluating the Deductive Competence of Large Language Models NAACL 2024 Evaluating the design space of diffusion-based generative models NeurIPS 2024 Evaluating the Simplification of Brazilian Legal Rulings in LLMs Using Readability Scores as a Target EMNLP 2024 Evaluating the World Model Implicit in a Generative Model NeurIPS 2024 Evaluating Vocabulary Usage in LLMs NAACL 2024 Eval-UA-tion 1.0: Benchmark for Evaluating Ukrainian (Large) Language Models COLING 2024 Evaluation and Large-scale Training for Contextual Machine Translation EMNLP 2024 Evaluation of Test-Time Adaptation Under Computational Time Constraints ICML 2024 Event-triggered safe Bayesian optimization on quadcopters L4DC 2024 Evidence Estimation in Gaussian Graphical Models Using a Telescoping Block Decomposition of the Precision Matrix JMLR 2024 Evidential Uncertainty-Guided Mitochondria Segmentation for 3D EM Images AAAI 2024 EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations NeurIPS 2024 Evolution and learning in differentiable robots RSS 2024 Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model ICML 2024 EVS-assisted Joint Deblurring Rolling-Shutter Correction and Video Frame Interpolation through Sensor Inverse Modeling CVPR 2024 Exact, Fast and Expressive Poisson Point Processes via Squared Neural Families AAAI 2024 Exact Gradients for Stochastic Spiking Neural Networks Driven by Rough Signals NeurIPS 2024 Exact Inference for Continuous-Time Gaussian Process Dynamics AAAI 2024 Exactly Minimax-Optimal Locally Differentially Private Sampling NeurIPS 2024 Exact Mean Square Linear Stability Analysis for SGD COLT 2024 Exact Policy Recovery in Offline RL with Both Heavy-Tailed Rewards and Data Corruption AAAI 2024