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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)

Tab-Shapley: Identifying Top-k Tabular Data Quality Insights AAAI 2025 Tackling Intertwined Data and Device Heterogeneities in Federated Learning with Unlimited Staleness AAAI 2025 TACO-RL: Task Aware Prompt Compression Optimization with Reinforcement Learning ACL 2025 TaCOS: Task-Specific Camera Optimization with Simulation WACV 2025 TaDA: Training-free recipe for Decoding with Adaptive KV Cache Compression and Mean-centering ACL 2025 TAGCOS: Task-agnostic Gradient Clustered Coreset Selection for Instruction Tuning Data NAACL 2025 Taking a Big Step: Large Learning Rates in Denoising Score Matching Prevent Memorization COLT 2025 Tamed Langevin sampling under weaker conditions AISTATS 2025 Taming LLMs with Gradient Grouping ACL 2025 Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion ICML 2025 Target-Driven Distillation: Consistency Distillation with Target Timestep Selection and Decoupled Guidance AAAI 2025 Targeted Learning for Variable Importance UAI 2025 Targeted Low-rank Refinement: Enhancing Sparse Language Models with Precision ICML 2025 TARO: Timestep-Adaptive Representation Alignment with Onset-Aware Conditioning for Synchronized Video-to-Audio Synthesis ICCV 2025 TAROT: Targeted Data Selection via Optimal Transport ICML 2025 TASAR: Transfer-based Attack on Skeletal Action Recognition ICLR 2025 Task-Aware Resolution Optimization for Visual Large Language Models EMNLP 2025 Task Calibration: Calibrating Large Language Models on Inference Tasks ACL 2025 Task Descriptors Help Transformers Learn Linear Models In-Context ICLR 2025 Task-driven Image Fusion with Learnable Fusion Loss CVPR 2025 Task-driven Layerwise Additive Activation Intervention NAACL 2025 Task Facet Learning: A Structured Approach To Prompt Optimization ACL 2025 Task-Informed Anti-Curriculum by Masking Improves Downstream Performance on Text ACL 2025 Task-level Distributionally Robust Optimization for Large Language Model-based Dense Retrieval AAAI 2025 Task Preference Optimization: Improving Multimodal Large Language Models with Vision Task Alignment CVPR 2025