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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
352
828
3,646
5,854
2000
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Papers (including subtopics)

Beta Sampling is All You Need: Efficient Image Generation Strategy for Diffusion Models using Stepwise Spectral Analysis WACV 2025 Better autoregressive regression with LLMs via regression-aware fine-tuning ICLR 2025 Better Embeddings with Coupled Adam ACL 2025 Better Private Distribution Testing by Leveraging Unverified Auxiliary Data COLT 2025 Better Red Teaming via Searching with Large Language Model ACL 2025 Better Understandings and Configurations in MaxSAT Stochastic Local Search Solvers via Anytime Performance Analysis AAAI 2025 Beware of Calibration Data for Pruning Large Language Models ICLR 2025 Beyond A Single AI Cluster: A Survey of Decentralized LLM Training EMNLP 2025 Beyond Autoregression: Fast LLMs via Self-Distillation Through Time ICLR 2025 Beyond Averages: Learning with Annotator Disagreement in STS EMNLP 2025 Beyond Binary Preferences: Semi-Online Label-Free GRACE-KTO with Group-Wise Adaptive Calibration for High-Quality Long-Text Generation EMNLP 2025 Beyond Blur: A Fluid Perspective on Generative Diffusion Models ICCV 2025 Beyond Clean Training Data: A Versatile and Model-Agnostic Framework for Out-of-Distribution Detection with Contaminated Training Data CVPR 2025 Beyond cognacy ACL 2025 Beyond Completion: A Foundation Model for General Knowledge Graph Reasoning ACL 2025 Beyond Constant Parameters: Hyper Prediction Models and HyperMPC CoRL 2025 Beyond Correctness: Confidence-Aware Reward Modeling for Enhancing Large Language Model Reasoning EMNLP 2025 Beyond correlation: The impact of human uncertainty in measuring the effectiveness of automatic evaluation and LLM-as-a-judge ICLR 2025 Beyond CVaR: Leveraging Static Spectral Risk Measures for Enhanced Decision-Making in Distributional Reinforcement Learning ICML 2025 Beyond Discretization: Learning the Optimal Solution Path AISTATS 2025 Beyond Entropy: Region Confidence Proxy for Wild Test-Time Adaptation ICML 2025 Beyond Excess and Deficiency: Adaptive Length Bias Mitigation in Reward Models for RLHF NAACL 2025 Beyond Fixed Length: Bucket Pre-training is All You Need IJCAI 2025 Beyond Fixed-Length Calibration for Post-Training Compression of LLMs EMNLP 2025 Beyond Human Data: Aligning Multimodal Large Language Models by Iterative Self-Evolution AAAI 2025