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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)

Interpreting CNNs via Decision Trees CVPR 2019 Interpreting Deep Models for Text Analysis via Optimization and Regularization Methods AAAI 2019 Intrinsically Efficient, Stable, and Bounded Off-Policy Evaluation for Reinforcement Learning NeurIPS 2019 Intrinsic dimension of data representations in deep neural networks NeurIPS 2019 Invariance and identifiability issues for word embeddings NeurIPS 2019 Invariance-inducing regularization using worst-case transformations suffices to boost accuracy and spatial robustness NeurIPS 2019 INVASE: Instance-wise Variable Selection using Neural Networks ICLR 2019 InverseRenderNet: Learning Single Image Inverse Rendering CVPR 2019 Invertible Convolutional Flow NeurIPS 2019 Inverting Deep Generative models, One layer at a time NeurIPS 2019 Investigation of Cost Function for Supervised Monaural Speech Separation Interspeech 2019 Investigation of Transformer Based Spelling Correction Model for CTC-Based End-to-End Mandarin Speech Recognition Interspeech 2019 IRLAS: Inverse Reinforcement Learning for Architecture Search CVPR 2019 Is Attention Interpretable? ACL 2019 Is Deeper Better only when Shallow is Good? NeurIPS 2019 Ising Models with Latent Conditional Gaussian Variables ALT 2019 iSplit LBI: Individualized Partial Ranking with Ties via Split LBI NeurIPS 2019 Is your function low dimensional? COLT 2019 Iterated Learning in Dynamic Social Networks JMLR 2019 Iterative Classroom Teaching AAAI 2019 Iterative Least Trimmed Squares for Mixed Linear Regression NeurIPS 2019 Iterative Normalization: Beyond Standardization Towards Efficient Whitening CVPR 2019 Iterative Residual CNNs for Burst Photography Applications CVPR 2019 Ivanov-Regularised Least-Squares Estimators over Large RKHSs and Their Interpolation Spaces JMLR 2019 JCTICOL at SemEval-2019 Task 6: Classifying Offensive Language in Social Media using Deep Learning Methods, Word/Character N-gram Features, and Preprocessing Methods SemEval 2019