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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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'25

Papers (including subtopics)

Efficient and Robust Neural Combinatorial Optimization via Wasserstein-Based Coresets ICLR 2025 Efficient and Robust Reinforcement Learning from Human Feedback AAAI 2025 Efficient and Scalable Density Functional Theory Hamiltonian Prediction through Adaptive Sparsity ICML 2025 Efficient and Trustworthy Causal Discovery with Latent Variables and Complex Relations ICLR 2025 Efficient Beam Search for Large Language Models Using Trie-Based Decoding EMNLP 2025 Efficient Bisection Projection to Ensure Neural-Network Solution Feasibility for Optimization over General Set ICML 2025 Efficient Core-set Selection for Deep Learning Through Squared Loss Minimization ICML 2025 Efficient Counterexample-Guided Fairness Verification and Repair of Neural Networks Using Satisfiability Modulo Convex Programming IJCAI 2025 Efficient Curvature-Aware Hypergradient Approximation for Bilevel Optimization ICML 2025 Efficient Decoding Methods for Language Models on Encrypted Data IJCNLP 2025 Efficient Differentiable Approximation of Generalized Low-rank Regularization IJCAI 2025 Efficient Diffusion as Low Light Enhancer CVPR 2025 Efficient Distributed Optimization under Heavy-Tailed Noise ICML 2025 Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMax ICLR 2025 Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets ICLR 2025 Efficient Domain Continual pretraining by Mitigating the Stability Gap ACL 2025 Efficient Duple Perturbation Robustness in Low-rank MDPs L4DC 2025 Efficient Dynamic Graphs Learning with Refined Batch Parallel Training IJCAI 2025 Efficient Evolutionary Search Over Chemical Space with Large Language Models ICLR 2025 Efficient Exploitation of Hierarchical Structure in Sparse Reward Reinforcement Learning AISTATS 2025 Efficient First-Order Optimization on the Pareto Set for Multi-Objective Learning under Preference Guidance ICML 2025 Efficient Graph Bandit Learning with Side-Observations and Switching Constraints AAAI 2025 Efficient Heterogeneity-Aware Federated Active Data Selection ICML 2025 Efficient Hierarchical Any-Angle Path Planning on Multi-Resolution 3D Grids RSS 2025 Efficient Inference for Large Language Model-based Generative Recommendation ICLR 2025