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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)

Cultivating Archipelago of Forests: Evolving Robust Decision Trees Through Island Coevolution AAAI 2025 Current Semantic-change Quantification Methods Struggle with Discovery in the Wild EMNLP 2025 Curriculum Debiasing: Toward Robust Parameter-Efficient Fine-Tuning Against Dataset Biases ACL 2025 Curriculum Direct Preference Optimization for Diffusion and Consistency Models CVPR 2025 Curriculum Learning for Biological Sequence Prediction: The Case of De Novo Peptide Sequencing ICML 2025 Curse of High Dimensionality Issue in Transformer for Long Context Modeling ICML 2025 Cut Your Losses in Large-Vocabulary Language Models ICLR 2025 CViT: Continuous Vision Transformer for Operator Learning ICLR 2025 Cyber for AI at SemEval-2025 Task 4: Forgotten but Not Lost: The Balancing Act of Selective Unlearning in Large Language Models SemEval 2025 D^2-DPM: Dual Denoising for Quantized Diffusion Probabilistic Models AAAI 2025 D3: Diversity, Difficulty, and Dependability-Aware Data Selection for Sample-Efficient LLM Instruction Tuning IJCAI 2025 DAC: A Dynamic Attention-aware Approach for Task-Agnostic Prompt Compression ACL 2025 DA-KD: Difficulty-Aware Knowledge Distillation for Efficient Large Language Models ICML 2025 DAMA: Data- and Model-aware Alignment of Multi-modal LLMs ICML 2025 DAM: Dynamic Attention Mask for Long-Context Large Language Model Inference Acceleration ACL 2025 DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation IJCAI 2025 DAST: Difficulty-Adaptive Slow-Thinking for Large Reasoning Models EMNLP 2025 Data-dependent Algorithmic Robustness Analysis of Pairwise Learning ACML 2025 Data-dependent Bounds with T-Optimal Best-of-Both-Worlds Guarantees in Multi-Armed Bandits using Stability-Penalty Matching COLT 2025 Data Dependent Regret Bounds for Online Portfolio Selection with Predicted Returns ALT 2025 Data Distillation for extrapolative protein design through exact preference optimization ICLR 2025 Data Distributional Properties As Inductive Bias for Systematic Generalization CVPR 2025 Data-Driven Performance Guarantees for Classical and Learned Optimizers JMLR 2025 Data-Driven Upper Confidence Bounds with Near-Optimal Regret for Heavy-Tailed Bandits AISTATS 2025 Data Drives Unstable Hierarchical Generalization in LMs EMNLP 2025