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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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'25

Papers (including subtopics)

QA-Calibration of Language Model Confidence Scores ICLR 2025 Q-Adapter: Customizing Pre-trained LLMs to New Preferences with Forgetting Mitigation ICLR 2025 QA‐LIGN: Aligning LLMs through Constitutionally Decomposed QA EMNLP 2025 QERA: an Analytical Framework for Quantization Error Reconstruction ICLR 2025 QiMeng-Attention: SOTA Attention Operator is generated by SOTA Attention Algorithm ACL 2025 QiMeng-TensorOp: One-Line Prompt is Enough for High-Performance Tensor Operator Generation with Hardware Primitives IJCAI 2025 QiMeng-Xpiler: Transcompiling Tensor Programs for Deep Learning Systems with a Neural-Symbolic Approach OSDI 2025 QiMLP: Quantum-inspired Multilayer Perceptron with Strong Correlation Mining and Parameter Compression AAAI 2025 QiMP at SemEval-2025 Task 11: Optimizing Text-based Emotion Classification in English Beyond Traditional Methods SemEval 2025 QJL: 1-Bit Quantized JL Transform for KV Cache Quantization with Zero Overhead AAAI 2025 QLASS: Boosting Language Agent Inference via Q-Guided Stepwise Search ICML 2025 Q-Mamba: Towards more efficient Mamba models via post-training quantization ACL 2025 qNBO: quasi-Newton Meets Bilevel Optimization ICLR 2025 QPM: Discrete Optimization for Globally Interpretable Image Classification ICLR 2025 QPRL : Learning Optimal Policies with Quasi-Potential Functions for Asymmetric Traversal ICML 2025 QPruner: Probabilistic Decision Quantization for Structured Pruning in Large Language Models NAACL 2025 QT-DoG: Quantization-Aware Training for Domain Generalization ICML 2025 QuACK: A Multipurpose Queuing Algorithm for Cooperative k-Armed Bandits AISTATS 2025 Quadratic Upper Bound for Boosting Robustness ICML 2025 Quality-Aware Decoding: Unifying Quality Estimation and Decoding ACL 2025 Quantification of Large Language Model Distillation ACL 2025 Quantifying and Narrowing the Unknown: Interactive Text-to-Video Retrieval via Uncertainty Minimization ICCV 2025 Quantifying Generalization Complexity for Large Language Models ICLR 2025 Quantifying Knowledge Distillation using Partial Information Decomposition AISTATS 2025 Quantifying Memorization and Parametric Response Rates in Retrieval-Augmented Vision-Language Models ACL 2025