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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

1
52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Video Desnowing and Deraining Based on Matrix Decomposition CVPR 2017 Visual Denotations for Recognizing Textual Entailment EMNLP 2017 Visual-Inertial Odometry on Chip: An Algorithm-and-Hardware Co-design Approach RSS 2017 WALKING WALKing walking: Action Recognition from Action Echoes IJCAI 2017 Wasserstein Generative Adversarial Networks ICML 2017 Wasserstein Learning of Deep Generative Point Process Models NeurIPS 2017 Wavelet Speech Enhancement Based on Robust Principal Component Analysis Interspeech 2017 Weighted Double Q-learning IJCAI 2017 Weighted-Entropy-Based Quantization for Deep Neural Networks CVPR 2017 Weighted Spatial Covariance Matrix Estimation for MUSIC Based TDOA Estimation of Speech Source Interspeech 2017 What to Do Next: Modeling User Behaviors by Time-LSTM IJCAI 2017 What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? NeurIPS 2017 When Cyclic Coordinate Descent Outperforms Randomized Coordinate Descent NeurIPS 2017 When Does Label Propagation Fail? A View from a Network Generative Model IJCAI 2017 When to Finish? Optimal Beam Search for Neural Text Generation (modulo beam size) EMNLP 2017 When Worlds Collide: Integrating Different Counterfactual Assumptions in Fairness NeurIPS 2017 Whitening-Free Least-Squares Non-Gaussian Component Analysis ACML 2017 Why ADAGRAD Fails for Online Topic Modeling EMNLP 2017 Why is Posterior Sampling Better than Optimism for Reinforcement Learning? ICML 2017 Word Embeddings based on Fixed-Size Ordinally Forgetting Encoding EMNLP 2017 XOR-Sampling for Network Design with Correlated Stochastic Events IJCAI 2017 YASS: Yet Another Spike Sorter NeurIPS 2017 Zap Q-Learning NeurIPS 2017 Zero Shot Learning via Multi-Scale Manifold Regularization CVPR 2017 ZigZag: A New Approach to Adaptive Online Learning COLT 2017