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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 Privacy Onion Effect: Memorization is Relative NeurIPS 2022 The Probabilistic Normal Epipolar Constraint for Frame-to-Frame Rotation Optimization Under Uncertain Feature Positions CVPR 2022 The “Problem” of Human Label Variation: On Ground Truth in Data, Modeling and Evaluation EMNLP 2022 The Query Complexity of Local Search and Brouwer in Rounds COLT 2022 The query complexity of sampling from strongly log-concave distributions in one dimension COLT 2022 There Are a Thousand Hamlets in a Thousand People’s Eyes: Enhancing Knowledge-grounded Dialogue with Personal Memory ACL 2022 The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection AAAI 2022 The Role of Baselines in Policy Gradient Optimization NeurIPS 2022 The Role of Interactivity in Structured Estimation COLT 2022 The role of optimization geometry in single neuron learning AISTATS 2022 The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks ICLR 2022 The Sample Complexity of One-Hidden-Layer Neural Networks NeurIPS 2022 The Separation Capacity of Random Neural Networks JMLR 2022 Theseus: A Library for Differentiable Nonlinear Optimization NeurIPS 2022 The Shapley Value in Machine Learning IJCAI 2022 The Spectral Bias of Polynomial Neural Networks ICLR 2022 The Stability-Efficiency Dilemma: Investigating Sequence Length Warmup for Training GPT Models NeurIPS 2022 The Structured Abstain Problem and the Lovász Hinge COLT 2022 The Teaching Dimension of Regularized Kernel Learners ICML 2022 The Three Stages of Learning Dynamics in High-dimensional Kernel Methods ICLR 2022 The Trade-offs of Domain Adaptation for Neural Language Models ACL 2022 The Tree Loss: Improving Generalization with Many Classes AISTATS 2022 The Two Dimensions of Worst-Case Training and Their Integrated Effect for Out-of-Domain Generalization CVPR 2022 The Uncanny Similarity of Recurrence and Depth ICLR 2022 The Untapped Potential of Off-the-Shelf Convolutional Neural Networks WACV 2022