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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)

A Monte-Carlo Sampling Framework For Reliable Evaluation of Large Language Models Using Behavioral Analysis EMNLP 2025 AMoPO: Adaptive Multi-objective Preference Optimization without Reward Models and Reference Models ACL 2025 Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series ICLR 2025 Amortized Probabilistic Conditioning for Optimization, Simulation and Inference AISTATS 2025 Amphista: Bi-directional Multi-head Decoding for Accelerating LLM Inference NAACL 2025 AMPO: Active Multi Preference Optimization for Self-play Preference Selection ICML 2025 Amulet: ReAlignment During Test Time for Personalized Preference Adaptation of LLMs ICLR 2025 A Multi-Granularity Clustering Approach for Federated Backdoor Defense with the Adam Optimizer IJCAI 2025 A Multi-Power Law for Loss Curve Prediction Across Learning Rate Schedules ICLR 2025 A Multiscale Frequency Domain Causal Framework for Enhanced Pathological Analysis ICLR 2025 An Adaptive Parameter-free and Projection-free Restarting Level Set Method for Constrained Convex Optimization Under the Error Bound Condition JMLR 2025 ANaGRAM: A Natural Gradient Relative to Adapted Model for efficient PINNs learning ICLR 2025 AnalogGenie-Lite: Enhancing Scalability and Precision in Circuit Topology Discovery through Lightweight Graph Modeling ICML 2025 Analysis of Two-Stage Rollout Designs with Clustering for Causal Inference under Network Interference AISTATS 2025 Analytical Integral Global Optimization L4DC 2025 Analyzing and Evaluating Correlation Measures in NLG Meta-Evaluation NAACL 2025 Analyzing and Mitigating Inconsistency in Discrete Speech Tokens for Neural Codec Language Models ACL 2025 Analyzing and Modeling LLM Response Lengths with Extreme Value Theory: Anchoring Effects and Hybrid Distributions EMNLP 2025 Analyzing Neural Scaling Laws in Two-Layer Networks with Power-Law Data Spectra ICLR 2025 Analyzing the Effects of Supervised Fine-Tuning on Model Knowledge from Token and Parameter Levels EMNLP 2025 Analyzing the Inner Workings of Transformers in Compositional Generalization NAACL 2025 Analyzing the Rapid Generalization of SFT via the Perspective of Attention Head Activation Patterns ACL 2025 Analyzing the Role of Permutation Invariance in Linear Mode Connectivity AISTATS 2025 Analyzing Uncertainty of LLM-as-a-Judge: Interval Evaluations with Conformal Prediction EMNLP 2025 An Analysis for Reasoning Bias of Language Models with Small Initialization ICML 2025