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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)

Inverse problems with experiment-guided AlphaFold ICML 2025 Inverse Reinforcement Learning Meets Large Language Model Alignment ACL 2025 Investigating How Pre-training Data Leakage Affects Models’ Reproduction and Detection Capabilities EMNLP 2025 Investigating Inference-time Scaling for Chain of Multi-modal Thought: A Preliminary Study ACL 2025 Investigating Motivated Inference in Large Language Models EMNLP 2025 Investigating Non-Transitivity in LLM-as-a-Judge ICML 2025 Investigating Omission as a Latency Reduction Strategy in Simultaneous Speech Translation IJCNLP 2025 Investigating ReLoRA: Effects on the Learning Dynamics of Small Language Models EMNLP 2025 Investigating Subjective Factors of Argument Strength: Storytelling, Emotions, and Hedging ACL 2025 Investigating the Overlooked Hessian Structure: From CNNs to LLMs ICML 2025 Investigating the Role of Weight Decay in Enhancing Nonconvex SGD CVPR 2025 Investigating the Zone of Proximal Development of Language Models for In-Context Learning NAACL 2025 Invisible Watermarks, Visible Gains: Steering Machine Unlearning with Bi-Level Watermarking Design ICCV 2025 IOP: An Idempotent-Like Optimization Method on the Pareto Front of Hypernetwork AAAI 2025 IOPO: Empowering LLMs with Complex Instruction Following via Input-Output Preference Optimization ACL 2025 ipezoTU at SemEval-2025 Task 7: Hybrid Ensemble Retrieval for Multilingual Fact-Checking SemEval 2025 IRASim: A Fine-Grained World Model for Robot Manipulation ICCV 2025 IRT-Router: Effective and Interpretable Multi-LLM Routing via Item Response Theory ACL 2025 Is a Good Foundation Necessary for Efficient Reinforcement Learning? The Computational Role of the Base Model in Exploration COLT 2025 Is Best-of-N the Best of Them? Coverage, Scaling, and Optimality in Inference-Time Alignment ICML 2025 Is Gibbs sampling faster than Hamiltonian Monte Carlo on GLMs? AISTATS 2025 Is Incremental Structure Prediction Process Universal across Languages?: Revisiting Parsing Strategy through Speculation CoNLL 2025 Isometric Regularization for Manifolds of Functional Data ICLR 2025 Is Peer-Reviewing Worth the Effort? COLING 2025 Is Prior-Free Black-Box Non-Stationary Reinforcement Learning Feasible? AISTATS 2025