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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)

Exploring Model Kinship for Merging Large Language Models EMNLP 2025 Exploring One Million Machine Learning Pipelines: A Benchmarking Study AutoML 2025 Exploring Response Uncertainty in MLLMs: An Empirical Evaluation under Misleading Scenarios EMNLP 2025 Exploring smaller batch sizes for a high-performing BabyLM model architecture EMNLP 2025 Exploring the Design Space of Visual Context Representation in Video MLLMs ICLR 2025 Exploring The Forgetting in Adversarial Training: A Novel Method for Enhancing Robustness ICLR 2025 Exploring the Generalizability of Factual Hallucination Mitigation via Enhancing Precise Knowledge Utilization EMNLP 2025 Exploring the Hidden Reasoning Process of Large Language Models by Misleading Them EMNLP 2025 Exploring the Limitations of Mamba in COPY and CoT Reasoning EMNLP 2025 Exploring The Loss Landscape Of Regularized Neural Networks Via Convex Duality ICLR 2025 Exploring the Over-smoothing Problem of Graph Neural Networks for Graph Classification: An Entropy-based Viewpoint IJCAI 2025 Exploring the Trade-Offs: Quantization Methods, Task Difficulty, and Model Size in Large Language Models From Edge to Giant IJCAI 2025 Exploring Topological Properties in Artificial Neural Networks AAAI 2025 Exposing Numeracy Gaps: A Benchmark to Evaluate Fundamental Numerical Abilities in Large Language Models ACL 2025 Exposing the Achilles’ Heel: Evaluating LLMs Ability to Handle Mistakes in Mathematical Reasoning ACL 2025 Expressive Power of Graph Neural Networks for (Mixed-Integer) Quadratic Programs ICML 2025 Expressive Power of Temporal Message Passing AAAI 2025 Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization ICML 2025 Expressivity of Neural Networks with Random Weights and Learned Biases ICLR 2025 Extending Mercer's expansion to indefinite and asymmetric kernels ICLR 2025 Extending Temperature Scaling with Homogenizing Maps JMLR 2025 Extracting PAC Decision Trees from Black Box Binary Classifiers: The Gender Bias Study Case on BERT-based Language Models AAAI 2025 Extreme Value Policy Optimization for Safe Reinforcement Learning ICML 2025 FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference ICML 2025 Factorized Learning for Temporally Grounded Video-Language Models ICCV 2025