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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
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2000
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Papers (including subtopics)

Cooperative Joint Attentive Network for Patient Outcome Prediction on Irregular Multi-Rate Multivariate Health Data IJCAI 2021 Cooperative SGD: A Unified Framework for the Design and Analysis of Local-Update SGD Algorithms JMLR 2021 Cooperative Stochastic Bandits with Asynchronous Agents and Constrained Feedback NeurIPS 2021 Coping with Label Shift via Distributionally Robust Optimisation ICLR 2021 Coreference Resolution without Span Representations ACL 2021 Coresets for Classification – Simplified and Strengthened NeurIPS 2021 Coresets for Time Series Clustering NeurIPS 2021 Corralling Stochastic Bandit Algorithms AISTATS 2021 Correlated Input-Dependent Label Noise in Large-Scale Image Classification CVPR 2021 Correlated Stochastic Block Models: Exact Graph Matching with Applications to Recovering Communities NeurIPS 2021 Correlated weights in infinite limits of deep convolutional neural networks UAI 2021 Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems AAAI 2021 Correlation Clustering in Constant Many Parallel Rounds ICML 2021 Corruption-robust exploration in episodic reinforcement learning COLT 2021 Cortico-cerebellar networks as decoupling neural interfaces NeurIPS 2021 Counterfactual Explanations for Oblique Decision Trees:Exact, Efficient Algorithms AAAI 2021 Counterfactual Maximum Likelihood Estimation for Training Deep Networks NeurIPS 2021 Coupled Gradient Estimators for Discrete Latent Variables NeurIPS 2021 Coupled Oscillatory Recurrent Neural Network (coRNN): An accurate and (gradient) stable architecture for learning long time dependencies ICLR 2021 Couplings for Multinomial Hamiltonian Monte Carlo AISTATS 2021 Covariance-Free Partial Least Squares: An Incremental Dimensionality Reduction Method WACV 2021 CPF: Learning a Contact Potential Field To Model the Hand-Object Interaction ICCV 2021 CPR: Classifier-Projection Regularization for Continual Learning ICLR 2021 CPT: Efficient Deep Neural Network Training via Cyclic Precision ICLR 2021 Cramér-Rao Lower Bound for DOA Estimation with an Array of Directional Microphones in Reverberant Environments Interspeech 2021