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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

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52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Speeding Up Incomplete GDL-based Algorithms for Multi-agent Optimization with Dense Local Utilities IJCAI 2020 Spike and slab variational Bayes for high dimensional logistic regression NeurIPS 2020 Spike-based causal inference for weight alignment ICLR 2020 SpikeGrad: An ANN-equivalent Computation Model for Implementing Backpropagation with Spikes ICLR 2020 SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization CVPR 2020 SP-NAS: Serial-to-Parallel Backbone Search for Object Detection CVPR 2020 Spread Divergence ICML 2020 Spying on Your Neighbors: Fine-grained Probing of Contextual Embeddings for Information about Surrounding Words ACL 2020 SQE: a Self Quality Evaluation Metric for Parameters Optimization in Multi-Object Tracking CVPR 2020 Stability of Stochastic Gradient Descent on Nonsmooth Convex Losses NeurIPS 2020 Stabilizing Differentiable Architecture Search via Perturbation-based Regularization ICML 2020 Stable and expressive recurrent vision models NeurIPS 2020 Stable behaviour of infinitely wide deep neural networks AISTATS 2020 Stable Intrinsic Auto-Calibration from Fundamental Matrices of Devices with Uncorrelated Camera Parameters WACV 2020 Stable Learning via Sample Reweighting AAAI 2020 Stable Prediction with Model Misspecification and Agnostic Distribution Shift AAAI 2020 Stable Rank Normalization for Improved Generalization in Neural Networks and GANs ICLR 2020 Stable Regression: On the Power of Optimization over Randomization JMLR 2020 Stage-wise Conservative Linear Bandits NeurIPS 2020 Stateful Posted Pricing with Vanishing Regret via Dynamic Deterministic Markov Decision Processes NeurIPS 2020 State Sequence Pooling Training of Acoustic Models for Keyword Spotting Interspeech 2020 State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes ICML 2020 Statistical and Computational Rates in Graph Logistic Regression AISTATS 2020 Statistical and Neural Network Based Speech Activity Detection in Non-Stationary Acoustic Environments Interspeech 2020 Statistical and Topological Properties of Sliced Probability Divergences NeurIPS 2020