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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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Papers (including subtopics)

The Elephant in the Room: Analyzing the Presence of Big Tech in Natural Language Processing Research ACL 2023 The emergence of clusters in self-attention dynamics NeurIPS 2023 The Emergence of Essential Sparsity in Large Pre-trained Models: The Weights that Matter NeurIPS 2023 The Equivalence of Dynamic and Strategic Stability under Regularized Learning in Games NeurIPS 2023 The Exact Sample Complexity Gain from Invariances for Kernel Regression NeurIPS 2023 The Expressive Power of Tuning Only the Normalization Layers COLT 2023 The Fine Print on Tempered Posteriors ACML 2023 The First Proven Performance Guarantees for the Non-Dominated Sorting Genetic Algorithm II (NSGA-II) on a Combinatorial Optimization Problem IJCAI 2023 The Framework Tax: Disparities Between Inference Efficiency in NLP Research and Deployment EMNLP 2023 The Gain from Ordering in Online Learning NeurIPS 2023 The Geometry and Calculus of Losses JMLR 2023 The geometry of hidden representations of large transformer models NeurIPS 2023 The Geometry of Neural Nets' Parameter Spaces Under Reparametrization NeurIPS 2023 The Hardness of Reasoning about Probabilities and Causality IJCAI 2023 The Hessian perspective into the Nature of Convolutional Neural Networks ICML 2023 The Ideal Continual Learner: An Agent That Never Forgets ICML 2023 The Impact of Exploration on Convergence and Performance of Multi-Agent Q-Learning Dynamics ICML 2023 The Impact of Positional Encoding on Length Generalization in Transformers NeurIPS 2023 The Impact of the Geometric Properties of the Constraint Set in Safe Optimization with Bandit Feedback L4DC 2023 The Implicit Bias of Batch Normalization in Linear Models and Two-layer Linear Convolutional Neural Networks COLT 2023 The Implicit Bias of Benign Overfitting JMLR 2023 The Implicit Bias of Minima Stability in Multivariate Shallow ReLU Networks ICLR 2023 The Implicit Regularization of Dynamical Stability in Stochastic Gradient Descent ICML 2023 The Implicit Regularization of Momentum Gradient Descent in Overparametrized Models AAAI 2023 The Importance of Calibration: Rethinking Confidence and Performance of Speech Multi-label Emotion Classifiers Interspeech 2023