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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)

On the Universality of Graph Neural Networks on Large Random Graphs NeurIPS 2021 On the Universality of Rotation Equivariant Point Cloud Networks ICLR 2021 On the Universality of the Double Descent Peak in Ridgeless Regression ICLR 2021 On the Validity of Modeling SGD with Stochastic Differential Equations (SDEs) NeurIPS 2021 On the Value of Infinite Gradients in Variational Autoencoder Models NeurIPS 2021 On the Variance of the Fisher Information for Deep Learning NeurIPS 2021 On the Verification of Neural ODEs with Stochastic Guarantees AAAI 2021 OntoGUM: Evaluating Contextualized SOTA Coreference Resolution on 12 More Genres ACL 2021 On Training Implicit Models NeurIPS 2021 On UMAP's True Loss Function NeurIPS 2021 On Uninformative Optimal Policies in Adaptive LQR with Unknown B-Matrix L4DC 2021 On User Interfaces for Large-Scale Document-Level Human Evaluation of Machine Translation Outputs EACL 2021 On Variational Inference in Biclustering Models ICML 2021 Oops I Took A Gradient: Scalable Sampling for Discrete Distributions ICML 2021 Oort: Efficient Federated Learning via Guided Participant Selection OSDI 2021 OPANAS: One-Shot Path Aggregation Network Architecture Search for Object Detection CVPR 2021 Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics ICML 2021 OpEvo: An Evolutionary Method for Tensor Operator Optimization AAAI 2021 Opponent Hand Estimation in the Game of Gin Rummy AAAI 2021 Optimal Algorithms for Stochastic Contextual Preference Bandits NeurIPS 2021 Optimal Algorithms for Submodular Maximization with Distributed Constraints L4DC 2021 Optimal Best-Arm Identification Methods for Tail-Risk Measures NeurIPS 2021 Optimal Bounds between f-Divergences and Integral Probability Metrics JMLR 2021 Optimal Complexity in Decentralized Training ICML 2021 Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks ICLR 2021