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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)

Efficient Mixture Learning in Black-Box Variational Inference ICML 2024 Efficient Modality Selection in Multimodal Learning JMLR 2024 Efficient Model-Based Concave Utility Reinforcement Learning through Greedy Mirror Descent AISTATS 2024 Efficient Model Stealing Defense with Noise Transition Matrix CVPR 2024 Efficient multi-prompt evaluation of LLMs NeurIPS 2024 Efficient Multitask Dense Predictor via Binarization CVPR 2024 Efficient Nonparametric Tensor Decomposition for Binary and Count Data AAAI 2024 Efficient Non-stationary Online Learning by Wavelets with Applications to Online Distribution Shift Adaptation ICML 2024 Efficient Online Crowdsourcing with Complex Annotations AAAI 2024 Efficient PAC Learnability of Dynamical Systems Over Multilayer Networks ICML 2024 Efficient Quantum Agnostic Improper Learning of Decision Trees AISTATS 2024 Efficient Reinforcement Learning by Discovering Neural Pathways NeurIPS 2024 Efficient Reinforcement Learning for Routing Jobs in Heterogeneous Queueing Systems AISTATS 2024 Efficient Score Matching with Deep Equilibrium Layers ICLR 2024 Efficient Sequential Decision Making with Large Language Models EMNLP 2024 Efficient Sign-Based Optimization: Accelerating Convergence via Variance Reduction NeurIPS 2024 Efficient Sketches for Training Data Attribution and Studying the Loss Landscape NeurIPS 2024 Efficient Solution of Point-Line Absolute Pose CVPR 2024 Efficient Stochastic Approximation of Minimax Excess Risk Optimization ICML 2024 Efficient Streaming Language Models with Attention Sinks ICLR 2024 Efficient Subgraph GNNs by Learning Effective Selection Policies ICLR 2024 Efficient Training of Language Models with Compact and Consistent Next Token Distributions ACL 2024 Efficient Variational Sequential Information Control AISTATS 2024 EFTNAS: Searching for Efficient Language Models in First-Order Weight-Reordered Super-Networks COLING 2024 EG-NAS: Neural Architecture Search with Fast Evolutionary Exploration AAAI 2024