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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)

The Unusual Effectiveness of Averaging in GAN Training ICLR 2019 The Value Function Polytope in Reinforcement Learning ICML 2019 The Variational Predictive Natural Gradient ICML 2019 Thinning for Accelerating the Learning of Point Processes NeurIPS 2019 Thompson Sampling and Approximate Inference NeurIPS 2019 Thompson Sampling Guided Stochastic Searching on the Line for Deceptive Environments with Applications to Root-Finding Problems JMLR 2019 Thompson Sampling on Symmetric Alpha-Stable Bandits IJCAI 2019 Thompson Sampling with Information Relaxation Penalties NeurIPS 2019 Three Mechanisms of Weight Decay Regularization ICLR 2019 Three-quarter Sibling Regression for Denoising Observational Data IJCAI 2019 Thresholding Bandit with Optimal Aggregate Regret NeurIPS 2019 Tight analyses for non-smooth stochastic gradient descent COLT 2019 Tight Dimension Independent Lower Bound on the Expected Convergence Rate for Diminishing Step Sizes in SGD NeurIPS 2019 Tighter Problem-Dependent Regret Bounds in Reinforcement Learning without Domain Knowledge using Value Function Bounds ICML 2019 Tight Kernel Query Complexity of Kernel Ridge Regression and Kernel k-means Clustering ICML 2019 Tight Lower Bounds on the VC-dimension of Geometric Set Systems JMLR 2019 Tightness-Aware Evaluation Protocol for Scene Text Detection CVPR 2019 Tight Sample Complexity of Learning One-hidden-layer Convolutional Neural Networks NeurIPS 2019 TIGS: An Inference Algorithm for Text Infilling with Gradient Search ACL 2019 Time/Accuracy Tradeoffs for Learning a ReLU with respect to Gaussian Marginals NeurIPS 2019 Time Matters in Regularizing Deep Networks: Weight Decay and Data Augmentation Affect Early Learning Dynamics, Matter Little Near Convergence NeurIPS 2019 Time to Frequency Domain Mapping of the Voice Source: The Influence of Open Quotient and Glottal Skew on the Low End of the Source Spectrum Interspeech 2019 Tiresias: A GPU Cluster Manager for Distributed Deep Learning NSDI 2019 T-Net: Parametrizing Fully Convolutional Nets With a Single High-Order Tensor CVPR 2019 To Annotate or Not? Predicting Performance Drop under Domain Shift EMNLP 2019