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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)

How to Handle Missing Values in Multi-Criteria Decision Aiding? IJCAI 2019 How to Initialize your Network? Robust Initialization for WeightNorm & ResNets NeurIPS 2019 How to train your MAML ICLR 2019 How Well Do Machines Perform on IQ tests: a Comparison Study on a Large-Scale Dataset IJCAI 2019 Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets IJCAI 2019 Human Uncertainty Makes Classification More Robust ICCV 2019 Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space IJCAI 2019 Hybrid Models with Deep and Invertible Features ICML 2019 Hydra: a federated resource manager for data-center scale analytics NSDI 2019 HyperAdam: A Learnable Task-Adaptive Adam for Network Training AAAI 2019 Hyperparameter Learning via Distributional Transfer NeurIPS 2019 Hyper-parameter Tuning under a Budget Constraint IJCAI 2019 Hyperprior Induced Unsupervised Disentanglement of Latent Representations AAAI 2019 Hyperspectral Image Reconstruction Using Deep External and Internal Learning ICCV 2019 Hypothesis Set Stability and Generalization NeurIPS 2019 IA-NET: Acceleration and Compression of Speech Enhancement Using Integer-Adder Deep Neural Network Interspeech 2019 Identification, Interpretability, and Bayesian Word Embeddings NAACL 2019 Identification of Causal Effects in the Presence of Selection Bias AAAI 2019 Identifying and Reducing Gender Bias in Word-Level Language Models NAACL 2019 Idiothetic Verticality Estimation through Head Stabilization Strategy RSS 2019 Image Saliency Prediction in Transformed Domain: A Deep Complex Neural Network Method AAAI 2019 Image-to-Image Translation with Multi-Path Consistency Regularization IJCAI 2019 IMEXnet A Forward Stable Deep Neural Network ICML 2019 Implicit Deep Latent Variable Models for Text Generation EMNLP 2019 Implicit Kernel Learning AISTATS 2019