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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)

EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models ICLR 2024 Efficient Dynamic Hard Negative Sampling for Dialogue Selection ACL 2024 Efficient Error Certification for Physics-Informed Neural Networks ICML 2024 Efficient Exploration for LLMs ICML 2024 Efficient Exploration in Average-Reward Constrained Reinforcement Learning: Achieving Near-Optimal Regret With Posterior Sampling ICML 2024 Efficient Federated Learning against Heterogeneous and Non-stationary Client Unavailability NeurIPS 2024 Efficient Graph Matching for Correlated Stochastic Block Models NeurIPS 2024 Efficient Hyperparameter Optimization with Adaptive Fidelity Identification CVPR 2024 Efficient Integrators for Diffusion Generative Models ICLR 2024 Efficient Inverse Multiagent Learning ICLR 2024 Efficient Learning in Polyhedral Games via Best-Response Oracles AAAI 2024 Efficient Leverage Score Sampling for Tensor Train Decomposition NeurIPS 2024 Efficient Lifelong Model Evaluation in an Era of Rapid Progress NeurIPS 2024 Efficient LLM Comparative Assessment: A Product of Experts Framework for Pairwise Comparisons EMNLP 2024 Efficient LLM Jailbreak via Adaptive Dense-to-sparse Constrained Optimization NeurIPS 2024 Efficient LLM Scheduling by Learning to Rank NeurIPS 2024 Efficient Low-Dimensional Compression of Overparameterized Models AISTATS 2024 Efficient Low-Rank Matrix Estimation, Experimental Design, and Arm-Set-Dependent Low-Rank Bandits ICML 2024 Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning AISTATS 2024 Efficiently Computing Susceptibility to Context in Language Models EMNLP 2024 Efficiently Learning One-Hidden-Layer ReLU Networks via SchurPolynomials COLT 2024 Efficiently Learning Significant Fourier Feature Pairs for Statistical Independence Testing NeurIPS 2024 Efficiently Train ASR Models that Memorize Less and Perform Better with Per-core Clipping Interspeech 2024 Efficient MAE Towards Large-Scale Vision Transformers WACV 2024 Efficient Minimum Bayes Risk Decoding using Low-Rank Matrix Completion Algorithms NeurIPS 2024