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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)

Cooperative Multi-player Bandit Optimization NeurIPS 2020 Cooperative Online Learning: Keeping your Neighbors Updated ALT 2020 CO-Optimal Transport NeurIPS 2020 Coordination without communication: optimal regret in two players multi-armed bandits COLT 2020 Coresets for Data-efficient Training of Machine Learning Models ICML 2020 Coresets for Estimating Means and Mean Square Error with Limited Greedy Samples UAI 2020 Coresets for Near-Convex Functions NeurIPS 2020 Coresets for Regressions with Panel Data NeurIPS 2020 Coresets for Robust Training of Deep Neural Networks against Noisy Labels NeurIPS 2020 Coresets via Bilevel Optimization for Continual Learning and Streaming NeurIPS 2020 Correcting Predictions for Approximate Bayesian Inference AAAI 2020 Correlation Robust Influence Maximization NeurIPS 2020 Correspondence-Free Material Reconstruction using Sparse Surface Constraints CVPR 2020 Corruption-Tolerant Gaussian Process Bandit Optimization AISTATS 2020 Cost-Accuracy Aware Adaptive Labeling for Active Learning AAAI 2020 Costly Zero Order Oracles COLT 2020 COT-GAN: Generating Sequential Data via Causal Optimal Transport NeurIPS 2020 Counterexample-Guided Learning of Monotonic Neural Networks NeurIPS 2020 Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models ICML 2020 Counterfactual Off-Policy Training for Neural Dialogue Generation EMNLP 2020 Coupling-based Invertible Neural Networks Are Universal Diffeomorphism Approximators NeurIPS 2020 CP-NAS: Child-Parent Neural Architecture Search for 1-bit CNNs IJCAI 2020 Cream of the Crop: Distilling Prioritized Paths For One-Shot Neural Architecture Search NeurIPS 2020 CREDICI: A Java Library for Causal Inference by Credal Networks PGM 2020 Critical initialisation in continuous approximations of binary neural networks ICLR 2020