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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)

Early Concept Drift Detection via Prediction Uncertainty AAAI 2025 Easing Training Process of Rectified Flow Models Via Lengthening Inter-Path Distance ICLR 2025 EasyInv: Toward Fast and Better DDIM Inversion ICML 2025 EBS-EKF: Accurate and High Frequency Event-based Star Tracking CVPR 2025 ECHO-LLaMA: Efficient Caching for High-Performance LLaMA Training EMNLP 2025 ECO Decoding: Entropy-Based Control for Controllability and Fluency in Controllable Dialogue Generation EMNLP 2025 EcoLoRA: Communication-Efficient Federated Fine-Tuning of Large Language Models EMNLP 2025 Eco Search: A No-delay Best-First Search Algorithm for Program Synthesis AAAI 2025 EcoTune: Token-Efficient Multi-Fidelity Hyperparameter Optimization for Large Language Model Inference EMNLP 2025 EDFFDNet: Towards Accurate and Efficient Unsupervised Multi-Grid Image Registration ICCV 2025 Editable Concept Bottleneck Models ICML 2025 EditBoard: Towards a Comprehensive Evaluation Benchmark for Text-Based Video Editing Models AAAI 2025 Edit-Wise Preference Optimization for Grammatical Error Correction COLING 2025 EF21 with Bells & Whistles: Six Algorithmic Extensions of Modern Error Feedback JMLR 2025 EF2X Exists for Four Agents AAAI 2025 Effective and Efficient Time-Varying Counterfactual Prediction with State-Space Models ICLR 2025 Effective Bayesian Causal Inference via Structural Marginalisation and Autoregressive Orders AISTATS 2025 Effective Littlestone dimension ALT 2025 Effects of Momentum in Implicit Bias of Gradient Flow for Diagonal Linear Networks AAAI 2025 Efficient Action-Constrained Reinforcement Learning via Acceptance-Rejection Method and Augmented MDPs ICLR 2025 Efficient Adaptation of Pre-trained Vision Transformer underpinned by Approximately Orthogonal Fine-Tuning Strategy ICCV 2025 Efficient Alternating Minimization with Applications to Weighted Low Rank Approximation ICLR 2025 Efficient and Accurate Explanation Estimation with Distribution Compression ICLR 2025 Efficient and Accurate Prompt Optimization: the Benefit of Memory in Exemplar-Guided Reflection ACL 2025 Efficient and Effective Prompt Tuning via Prompt Decomposition and Compressed Outer Product NAACL 2025