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

Taxonomy Driven Fast Adversarial Training AAAI 2024 Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization NeurIPS 2024 Team NP_PROBLEM at SemEval-2024 Task 7: Numerical Reasoning in Headline Generation with Preference Optimization SemEval 2024 TEA: Test-time Energy Adaptation CVPR 2024 TECC: Towards Efficient QUIC Tunneling via Collaborative Transmission Control NSDI 2024 TEI Specifications for a Sustainable Management of Digitized Holocaust Testimonies COLING 2024 Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs ICLR 2024 Temperature-scaling surprisal estimates improve fit to human reading times – but does it do so for the “right reasons”? ACL 2024 Temporal Domain Generalization via Learning Instance-level Evolving Patterns IJCAI 2024 Temporal Graph Neural Tangent Kernel with Graphon-Guaranteed NeurIPS 2024 Temporal Graph ODEs for Irregularly-Sampled Time Series IJCAI 2024 Temporally and Distributionally Robust Optimization for Cold-Start Recommendation AAAI 2024 Temporally Consistent Unbalanced Optimal Transport for Unsupervised Action Segmentation CVPR 2024 Tending Towards Stability: Convergence Challenges in Small Language Models EMNLP 2024 TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision ICML 2024 Tensor-Based Synchronization and the Low-Rankness of the Block Trifocal Tensor NeurIPS 2024 Tensor Programs VI: Feature Learning in Infinite Depth Neural Networks ICLR 2024 Tensor-train methods for sequential state and parameter learning in state-space models JMLR 2024 TERD: A Unified Framework for Safeguarding Diffusion Models Against Backdoors ICML 2024 Testable Learning of General Halfspaces with Adversarial Label Noise COLT 2024 Testable Learning with Distribution Shift COLT 2024 Testing Calibration in Nearly-Linear Time NeurIPS 2024 Testing exchangeability by pairwise betting AISTATS 2024 Testing Semantic Importance via Betting NeurIPS 2024 Test-time Adaptation against Multi-modal Reliability Bias ICLR 2024