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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)

ESRL: Efficient Sampling-Based Reinforcement Learning for Sequence Generation AAAI 2024 Estimating Agreement by Chance for Sequence Annotation ACL 2024 Estimating Barycenters of Distributions with Neural Optimal Transport ICML 2024 Estimating before Debiasing: A Bayesian Approach to Detaching Prior Bias in Federated Semi-Supervised Learning IJCAI 2024 Estimating Conditional Mutual Information for Dynamic Feature Selection ICLR 2024 Estimating Epistemic and Aleatoric Uncertainty with a Single Model NeurIPS 2024 Estimating Generalization Performance Along the Trajectory of Proximal SGD in Robust Regression NeurIPS 2024 Estimating Shape Distances on Neural Representations with Limited Samples ICLR 2024 Estimating the Hallucination Rate of Generative AI NeurIPS 2024 Estimating the Minimizer and the Minimum Value of a Regression Function under Passive Design JMLR 2024 Estimating the Replication Probability of Significant Classification Benchmark Experiments JMLR 2024 Estimation of Sparse Gaussian Graphical Models with Hidden Clustering Structure JMLR 2024 Estimation of the Order of Non-Parametric Hidden Markov Models using the Singular Values of an Integral Operator JMLR 2024 Et Tu Certifications: Robustness Certificates Yield Better Adversarial Examples ICML 2024 Euclidean distance compression via deep random features NeurIPS 2024 Euler Characteristic Tools for Topological Data Analysis JMLR 2024 Eureka-Moments in Transformers: Multi-Step Tasks Reveal Softmax Induced Optimization Problems ICML 2024 Evaluating Automatic Subtitling: Correlating Post-editing Effort and Automatic Metrics COLING 2024 Evaluating Differentially Private Synthetic Data Generation in High-Stakes Domains EMNLP 2024 Evaluating Dynamic Topic Models ACL 2024 Evaluating Extrapolation Ability of Large Language Model in Chemical Domain ACL 2024 Evaluating Gender Bias in Multilingual Multimodal AI Models: Insights from an Indian Context ACL 2024 Evaluating Generative Language Models in Information Extraction as Subjective Question Correction COLING 2024 Evaluating Large Language Models along Dimensions of Language Variation: A Systematik Invesdigatiom uv Cross-lingual Generalization EMNLP 2024 Evaluating n-Gram Novelty of Language Models Using Rusty-DAWG EMNLP 2024