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

Cross-Lingual Document Retrieval with Smooth Learning COLING 2020 Cross-validation Confidence Intervals for Test Error NeurIPS 2020 Crowd Counting with Decomposed Uncertainty AAAI 2020 Crowdsourcing with Multiple-Source Knowledge Transfer IJCAI 2020 CryptoNAS: Private Inference on a ReLU Budget NeurIPS 2020 CSER: Communication-efficient SGD with Error Reset NeurIPS 2020 CSPN++: Learning Context and Resource Aware Convolutional Spatial Propagation Networks for Depth Completion AAAI 2020 CUNI English-Czech and English-Polish Systems in WMT20: Robust Document-Level Training EMNLP 2020 Curriculum Learning by Dynamic Instance Hardness NeurIPS 2020 Curse of Dimensionality on Randomized Smoothing for Certifiable Robustness ICML 2020 Curvature-corrected learning dynamics in deep neural networks ICML 2020 Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning ICLR 2020 DACE: Distribution-Aware Counterfactual Explanation by Mixed-Integer Linear Optimization IJCAI 2020 DARTS-ASR: Differentiable Architecture Search for Multilingual Speech Recognition and Adaptation Interspeech 2020 Data Amplification: Instance-Optimal Property Estimation ICML 2020 Data-driven confidence bands for distributed nonparametric regression COLT 2020 Data-driven distributionally robust LQR with multiplicative noise L4DC 2020 Data-driven modeling of a flapping bat robot with a single flexible wing surface RSS 2020 Data-Independent Neural Pruning via Coresets ICLR 2020 Dataless Model Selection With the Deep Frame Potential CVPR 2020 Data preprocessing to mitigate bias: A maximum entropy based approach ICML 2020 Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics EMNLP 2020 Data Uncertainty Learning in Face Recognition CVPR 2020 DAve-QN: A Distributed Averaged Quasi-Newton Method with Local Superlinear Convergence Rate AISTATS 2020 Ddo, a Generic and Efficient Framework for MDD-Based Optimization IJCAI 2020