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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)

Finding Generalization Measures by Contrasting Signal and Noise ICML 2023 Finding Safe Zones of Markov Decision Processes Policies NeurIPS 2023 FINDINGS OF THE IWSLT 2023 EVALUATION CAMPAIGN ACL 2023 Finding the Global Semantic Representation in GAN through Fréchet Mean ICLR 2023 Finding the Pillars of Strength for Multi-Head Attention ACL 2023 Finding the SWEET Spot: Analysis and Improvement of Adaptive Inference in Low Resource Settings ACL 2023 Fine Gaze Redirection Learning With Gaze Hardness-Aware Transformation WACV 2023 Fine-Grained Distribution-Dependent Learning Curves COLT 2023 Fine-grained Expressivity of Graph Neural Networks NeurIPS 2023 Fine-Tuning Generative Models as an Inference Method for Robotic Tasks CoRL 2023 Fine-tuning Happens in Tiny Subspaces: Exploring Intrinsic Task-specific Subspaces of Pre-trained Language Models ACL 2023 Fine-Tuning Language Models with Just Forward Passes NeurIPS 2023 Finite Population Regression Adjustment and Non-asymptotic Guarantees for Treatment Effect Estimation NeurIPS 2023 Finite-Sample Analysis of Learning High-Dimensional Single ReLU Neuron ICML 2023 Finite-Sample Symmetric Mean Estimation with Fisher Information Rate COLT 2023 Finite-Time Analysis of Single-Timescale Actor-Critic NeurIPS 2023 Finite time analysis of temporal difference learning with linear function approximation: Tail averaging and regularisation AISTATS 2023 Finite-Time Logarithmic Bayes Regret Upper Bounds NeurIPS 2023 First- and Second-Order Bounds for Adversarial Linear Contextual Bandits NeurIPS 2023 First-Choice Maximality Meets Ex-ante and Ex-post Fairness IJCAI 2023 First-Order Algorithms for Nonlinear Generalized Nash Equilibrium Problems JMLR 2023 First Order Methods with Markovian Noise: from Acceleration to Variational Inequalities NeurIPS 2023 First Order Stochastic Optimization with Oblivious Noise NeurIPS 2023 First Steps Toward Understanding the Extrapolation of Nonlinear Models to Unseen Domains ICLR 2023 Fisher Information Embedding for Node and Graph Learning ICML 2023