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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)

When the Universe is Too Big: Bounding Consideration Probabilities for Plackett-Luce Rankings AISTATS 2025 When to Forget? Complexity Trade-offs in Machine Unlearning ICML 2025 When, Where and Why to Average Weights? ICML 2025 Where and How to Enhance: Discovering Bit-Width Contribution for Mixed Precision Quantization IJCAI 2025 Where is the answer? An empirical study of positional bias for parametric knowledge extraction in language model NAACL 2025 Which Word Orders Facilitate Length Generalization in LMs? An Investigation with GCG-Based Artificial Languages EMNLP 2025 Whoever Started the interference Should End It: Guiding Data-Free Model Merging via Task Vectors ICML 2025 Who leads? Who follows? Temporal dynamics of political dogwhistles in Swedish online communities ACL 2025 Why Does the Effective Context Length of LLMs Fall Short? ICLR 2025 Why do language models perform worse for morphologically complex languages? COLING 2025 Why Do Some Inputs Break Low-Bit LLM Quantization? EMNLP 2025 Why Has Predicting Downstream Capabilities of Frontier AI Models with Scale Remained Elusive? ICML 2025 Why Uncertainty Estimation Methods Fall Short in RAG: An Axiomatic Analysis ACL 2025 Wide Neural Networks Trained with Weight Decay Provably Exhibit Neural Collapse ICLR 2025 Widening the Network Mitigates the Impact of Data Heterogeneity on FedAvg ICML 2025 WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild ICLR 2025 Winner-takes-all for Multivariate Probabilistic Time Series Forecasting ICML 2025 Witty: An Efficient Solver for Computing Minimum-Size Decision Trees AAAI 2025 WPMixer: Efficient Multi-Resolution Mixing for Long-Term Time Series Forecasting AAAI 2025 X-ALMA: Plug & Play Modules and Adaptive Rejection for Quality Translation at Scale ICLR 2025 XAutoLM: Efficient Fine-Tuning of Language Models via Meta-Learning and AutoML EMNLP 2025 xFinder: Large Language Models as Automated Evaluators for Reliable Evaluation ICLR 2025 X-KAN: Optimizing Local Kolmogorov-Arnold Networks via Evolutionary Rule-Based Machine Learning IJCAI 2025 XQuant: Achieving Ultra-Low Bit KV Cache Quantization with Cross-Layer Compression EMNLP 2025 XTSFormer: Cross-Temporal-Scale Transformer for Irregular-Time Event Prediction in Clinical Applications AAAI 2025