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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)

From Uncertain to Safe: Conformal Adaptation of Diffusion Models for Safe PDE Control ICML 2025 From Words to Worth: Newborn Article Impact Prediction with LLM AAAI 2025 From Your Block to Our Block: How to Find Shared Structure Between Stochastic Block Models over Multiple Graphs AAAI 2025 Frontiers to the learning of nonparametric hidden Markov models JMLR 2025 Frozen Language Models Are Gradient Coherence Rectifiers in Vision Transformers AAAI 2025 Frozen Layers: Memory-efficient Many-fidelity Hyperparameter Optimization AutoML 2025 FR-Spec: Accelerating Large-Vocabulary Language Models via Frequency-Ranked Speculative Sampling ACL 2025 FRUGAL: Memory-Efficient Optimization by Reducing State Overhead for Scalable Training ICML 2025 FTFT: Efficient and Robust Fine-Tuning by Transferring Training Dynamics COLING 2025 Full-Step-DPO: Self-Supervised Preference Optimization with Step-wise Rewards for Mathematical Reasoning ACL 2025 Full Swap Regret and Discretized Calibration ALT 2025 FunBO: Discovering Acquisition Functions for Bayesian Optimization with FunSearch ICML 2025 Function-Space Learning Rates ICML 2025 Fundamental Bias in Inverting Random Sampling Matrices with Application to Sub-sampled Newton ICML 2025 Fundamental computational limits of weak learnability in high-dimensional multi-index models AISTATS 2025 Fundamental Limitations on Subquadratic Alternatives to Transformers ICLR 2025 Fundamental limits of learning in sequence multi-index models and deep attention networks: high-dimensional asymptotics and sharp thresholds ICML 2025 Fundamental Limits of Perfect Concept Erasure AISTATS 2025 Fundamental Limits of Prompt Tuning Transformers: Universality, Capacity and Efficiency ICLR 2025 Fusing Reward and Dueling Feedback in Stochastic Bandits ICML 2025 FusionBench: A Unified Library and Comprehensive Benchmark for Deep Model Fusion JMLR 2025 FuzzAug: Data Augmentation by Coverage-guided Fuzzing for Neural Test Generation EMNLP 2025 Fuzzy Reasoning Chain (FRC): An Innovative Reasoning Framework from Fuzziness to Clarity EMNLP 2025 Fuzzy Speculative Decoding for a Tunable Accuracy-Runtime Tradeoff ACL 2025 G2D: Boosting Multimodal Learning with Gradient-Guided Distillation ICCV 2025