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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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Papers (including subtopics)

Unveiling the Power of Source: Source-based Minimum Bayes Risk Decoding for Neural Machine Translation ACL 2025 Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs ICLR 2025 Unveiling Uncertainty: A Deep Dive into Calibration and Performance of Multimodal Large Language Models COLING 2025 UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter Efficient Fine-Tuning of Large Models ACL 2025 Uplift Model Evaluation with Ordinal Dominance Graphs JMLR 2025 UP-Restorer: When Unrolling Meets Prompts for Unified Image Restoration AAAI 2025 Upsample or Upweight? Balanced Training on Heavily Imbalanced Datasets NAACL 2025 Up to Par? MT Systems Take a Shot at Sports Terminology EMNLP 2025 URO-Bench: Towards Comprehensive Evaluation for End-to-End Spoken Dialogue Models EMNLP 2025 User Behavior Prediction as a Generic, Robust, Scalable, and Low-Cost Evaluation Strategy for Estimating Generalization in LLMs ACL 2025 User Preference Meets Pareto-Optimality in Multi-Objective Bayesian Optimization AAAI 2025 U-shaped and Inverted-U Scaling behind Emergent Abilities of Large Language Models ICLR 2025 Using Powerful Prior Knowledge of Diffusion Model in Deep Unfolding Networks for Image Compressive Sensing CVPR 2025 USP-Gaussian: Unifying Spike-based Image Reconstruction, Pose Correction and Gaussian Splatting CVPR 2025 Utilitarian Algorithm Configuration for Infinite Parameter Spaces ICLR 2025 Utility-Directed Conformal Prediction: A Decision-Aware Framework for Actionable Uncertainty Quantification ICLR 2025 UTMath: A Benchmark for Math Evaluation with Unit Test EMNLP 2025 UvA-MT at WMT25 Evaluation Task: LLM Uncertainty as a Proxy for Translation Quality EMNLP 2025 Validating Mechanistic Interpretations: An Axiomatic Approach ICML 2025 Valid Bootstraps for Network Embeddings with Applications to Network Visualisation UAI 2025 Value-Based Deep RL Scales Predictably ICML 2025 Value-Incentivized Preference Optimization: A Unified Approach to Online and Offline RLHF ICLR 2025 Value Residual Learning ACL 2025 Variable Layerwise Quantization: A Simple and Effective Approach to Quantize LLMs ACL 2025 Variance as a Catalyst: Efficient and Transferable Semantic Erasure Adversarial Attack for Customized Diffusion Models ICML 2025