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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

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52
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828
3,646
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2000
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Papers (including subtopics)

RPO: Retrieval Preference Optimization for Robust Retrieval-Augmented Generation ACL 2025 R-PRM: Reasoning-Driven Process Reward Modeling EMNLP 2025 RRInf: Efficient Influence Function Estimation via Ridge Regression for Large Language Models and Text-to-Image Diffusion Models EMNLP 2025 R-Sparse: Rank-Aware Activation Sparsity for Efficient LLM Inference ICLR 2025 RSSN at SemEval-2025 Task 11: Optimizing Multi-Label Emotion Detection with Transformer-Based Models and Threshold Tuning SemEval 2025 RTdetector: Deep Transformer Networks for Time Series Anomaly Detection Based on Reconstruction Trend IJCAI 2025 RTE-GMoE: A Model-agnostic Approach for Relation Triplet Extraction via Graph-based Mixture-of-Expert Mutual Learning EMNLP 2025 R-TOFU: Unlearning in Large Reasoning Models EMNLP 2025 RTop-K: Ultra-Fast Row-Wise Top-K Selection for Neural Network Acceleration on GPUs ICLR 2025 RTTC: Reward-Guided Collaborative Test-Time Compute EMNLP 2025 RuleAdapter: Dynamic Rules for training Safety Reward Models in RLHF ICML 2025 Runtime Analysis for Multi-Objective Evolutionary Algorithms in Unbounded Integer Spaces AAAI 2025 Runtime Analysis of Evolutionary NAS for Multiclass Classification ICML 2025 Runtime Protocol Refinement Checking for Distributed Protocol Implementations NSDI 2025 R-VLM: Region-Aware Vision Language Model for Precise GUI Grounding ACL 2025 RZ-NAS: Enhancing LLM-guided Neural Architecture Search via Reflective Zero-Cost Strategy ICML 2025 s1: Simple test-time scaling EMNLP 2025 S2LPP: Small-to-Large Prompt Prediction across LLMs EMNLP 2025 S2WTM: Spherical Sliced-Wasserstein Autoencoder for Topic Modeling ACL 2025 SAC-GNC: SAmple Consensus for adaptive Graduated Non-Convexity ICCV 2025 SADDLe: Sharpness-Aware Decentralized Deep Learning with Heterogeneous Data WACV 2025 Safe Beyond the Horizon: Efficient Sampling-based MPC with Neural Control Barrier Functions RSS 2025 SafeConf: A Confidence-Calibrated Safety Self-Evaluation Method for Large Language Models EMNLP 2025 Safe Cooperative Multi-Agent Reinforcement Learning with Function Approximation L4DC 2025 Safe-EF: Error Feedback for Non-smooth Constrained Optimization ICML 2025