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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)

Does Graph Prompt Work? A Data Operation Perspective with Theoretical Analysis ICML 2025 Does Self-Attention Need Separate Weights in Transformers? NAACL 2025 Does SGD really happen in tiny subspaces? ICLR 2025 Does Your AI Agent Get You? A Personalizable Framework for Approximating Human Models from Argumentation-based Dialogue Traces AAAI 2025 Do ImageNet-trained Models Learn Shortcuts? The Impact of Frequency Shortcuts on Generalization CVPR 2025 Do Influence Functions Work on Large Language Models? EMNLP 2025 Do Large Language Models Truly Grasp Addition? A Rule-Focused Diagnostic Using Two-Integer Arithmetic EMNLP 2025 Do LLMs Adhere to Label Definitions? Examining Their Receptivity to External Label Definitions EMNLP 2025 Do LLMs estimate uncertainty well in instruction-following? ICLR 2025 Do LLMs Give Psychometrically Plausible Responses in Educational Assessments? ACL 2025 Do LLMs Need Inherent Reasoning Before Reinforcement Learning? A Study in Korean Self-Correction IJCNLP 2025 Do LLMs Play Dice? Exploring Probability Distribution Sampling in Large Language Models for Behavioral Simulation COLING 2025 Domain Adaptation and Entanglement: an Optimal Transport Perspective AISTATS 2025 Domain-Adapted Diffusion Model for PROTAC Linker Design Through the Lens of Density Ratio in Chemical Space ICML 2025 DOMBA: Double Model Balancing for Access-Controlled Language Models via Minimum-Bounded Aggregation AAAI 2025 Do Mice Grok? Glimpses of Hidden Progress in Sensory Cortex ICLR 2025 DONIS: Importance Sampling for Training Physics-Informed DeepONet IJCAI 2025 Do Not Design, Learn: A Trainable Scoring Function for Uncertainty Estimation in Generative LLMs NAACL 2025 Don’t Get Lost in the Trees: Streamlining LLM Reasoning by Overcoming Tree Search Exploration Pitfalls ACL 2025 Don’t Reinvent the Wheel: Efficient Instruction-Following Text Embedding based on Guided Space Transformation ACL 2025 DON’T STOP ME NOW: EMBEDDING BASED SCHEDULING FOR LLMS ICLR 2025 Don’t Sweat the Small Stuff: Segment-Level Meta-Evaluation Based on Pairwise Difference Correlation EMNLP 2025 Don’t Take the Premise for Granted: Evaluating the Premise Critique Ability of Large Language Models EMNLP 2025 Do PAC-Learners Learn the Marginal Distribution? ALT 2025 DOPL: Direct Online Preference Learning for Restless Bandits with Preference Feedback ICLR 2025