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Methodology
← Optimization & Theory
Machine Learning
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Optimization & Theory
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Optimization
14207 directly classified papers
Papers per year
2001: 10
2002: 9
2003: 16
2004: 6
2005: 16
2006: 58
2007: 67
2008: 72
2009: 84
2010: 106
2011: 132
2012: 164
2013: 333
2014: 295
2015: 310
2016: 380
2017: 509
2018: 669
2019: 1072
2020: 1217
2021: 1489
2022: 1470
2023: 1746
2024: 1819
2025: 1567
2026: 591
Papers
FIRE: Flexible Integration of Data Quality Ratings for Effective Pretraining
EMNLP 2025
Modeling All Response Surfaces in One for Conditional Search Spaces
AAAI 2025
Speculative Decoding for Multi-Sample Inference
EMNLP 2025
Optimal subsampling for high-dimensional partially linear models via machine learning methods
JMLR 2025
MOPO: Multi-Objective Prompt Optimization for Affective Text Generation
COLING 2025
Decentralized Sparse Linear Regression via Gradient-Tracking
JMLR 2025
Can We Afford The Perfect Prompt? Balancing Cost and Accuracy with the Economical Prompting Index
COLING 2025
An Adaptive Parameter-free and Projection-free Restarting Level Set Method for Constrained Convex Optimization Under the Error Bound Condition
JMLR 2025
FLRC: Fine-grained Low-Rank Compressor for Efficient LLM Inference
EMNLP 2025
Efficient Beam Search for Large Language Models Using Trie-Based Decoding
EMNLP 2025
Improved Sparse Upcycling for Instruction Tuning
COLING 2025
Decentralized Asynchronous Optimization with DADAO allows Decoupling and Acceleration
JMLR 2025
Controllable Memorization in LLMs via Weight Pruning
EMNLP 2025
On Probabilistic Embeddings in Optimal Dimension Reduction
JMLR 2025
(De)-regularized Maximum Mean Discrepancy Gradient Flow
JMLR 2025
Efficient Methods for Non-stationary Online Learning
JMLR 2025
IOPO: Empowering LLMs with Complex Instruction Following via Input-Output Preference Optimization
ACL 2025
ToolCoder: A Systematic Code-Empowered Tool Learning Framework for Large Language Models
ACL 2025
FEA-Bench: A Benchmark for Evaluating Repository-Level Code Generation for Feature Implementation
ACL 2025
Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization
ACL 2025
Algorithms for ridge estimation with convergence guarantees
JMLR 2025
Logical forms complement probability in understanding language model (and human) performance
ACL 2025
BinarySelect to Improve Accessibility of Black-Box Attack Research
COLING 2025
SceneGenAgent: Precise Industrial Scene Generation with Coding Agent
ACL 2025
LoRaDA: Low-Rank Direct Attention Adaptation for Efficient LLM Fine-tuning
EMNLP 2025
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