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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)

Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes CVPR 2025 See-Saw Modality Balance: See Gradient, and Sew Impaired Vision-Language Balance to Mitigate Dominant Modality Bias NAACL 2025 SEE: Strategic Exploration and Exploitation for Cohesive In-Context Prompt Optimization ACL 2025 See the World, Discover Knowledge: A Chinese Factuality Evaluation for Large Vision Language Models ACL 2025 Selecting the Number of Communities for Weighted Degree-Corrected Stochastic Block Models AISTATS 2025 Selective Aggregation for Low-Rank Adaptation in Federated Learning ICLR 2025 Selective Induction Heads: How Transformers Select Causal Structures in Context ICLR 2025 Selective Inference with Distributed Data JMLR 2025 Selective Response Strategies for GenAI ICML 2025 Selective Task Group Updates for Multi-Task Optimization ICLR 2025 Selective Uncertainty Propagation in Offline RL AAAI 2025 Select-Then-Decompose: From Empirical Analysis to Adaptive Selection Strategy for Task Decomposition in Large Language Models EMNLP 2025 Select-then-Route : Taxonomy guided Routing for LLMs EMNLP 2025 Self-Adjust Softmax EMNLP 2025 Self-Aligning Depth-Regularized Radiance Fields for Asynchronous RGB-D Sequences WACV 2025 Self-calibration for Language Model Quantization and Pruning NAACL 2025 Self-Consistency Preference Optimization ICML 2025 Self-Consuming Generative Models with Adversarially Curated Data ICML 2025 Self-Evolutionary Large Language Models Through Uncertainty-Enhanced Preference Optimization AAAI 2025 SELF-EVOLVED REWARD LEARNING FOR LLMS ICLR 2025 Self-Improvement in Language Models: The Sharpening Mechanism ICLR 2025 Self-Improvement Towards Pareto Optimality: Mitigating Preference Conflicts in Multi-Objective Alignment ACL 2025 Self-Improving Robust Preference Optimization ICLR 2025 SELF-[IN]CORRECT: LLMs Struggle with Discriminating Self-Generated Responses AAAI 2025 Self-Normalized Resets for Plasticity in Continual Learning ICLR 2025