Statistics & Actuarial Science: Conference papers Collection home page

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Collection's Items (Sorted by Submit Date in Descending order): 121 to 140 of 507
TitleAuthor(s)Issue Date
 
Distributed, partially collapsed MCMC for Bayesian Nonparametrics
Proceeding/Conference:Proceedings of Machine Learning Research (PMLR)
2020
Selective Learning from External Data for CT Image Segmentation
Proceeding/Conference:International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021
2021
 
Patient-Specific Effects of Medication Using Latent Force Models with Gaussian Processes
Proceeding/Conference:Proceedings of Machine Learning Research (PMLR)
2020
 
Latent variable modeling with random features
Proceeding/Conference:Proceedings of Machine Learning Research (PMLR)
2021
 
2020
 
2021
 
Crystallization Learning with the Delaunay Triangulation
Proceeding/Conference:Proceedings of Machine Learning Research (PMLR)
2021
 
AI-Assisted Criminal Sentencing of Drug Trafficking Cases: A Model for Combining Human and Algorithmic Legal Decision-Making
Proceeding/Conference:Machine Lawyering Conference: Human Sovereignty and Machine Efficiency in the Law
2021
 
Integrating Domain Knowledge in AI-Assisted Criminal Sentencing of Drug Trafficking Cases
Proceeding/Conference:The 33rd International Conference on Legal Knowledge and Information Systems (JURIX 2020)
2020
TransCT: Dual-path Transformer for Low Dose Computed Tomography
Proceeding/Conference:International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021
2021
Beyond COVID-19 Diagnosis: Prognosis with hierarchical graph representation learning
Proceeding/Conference:International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021
2021
A generalized neural tangent kernel analysis for two-layer neural networks
Proceeding/Conference:Advances in Neural Information Processing Systems 33 (NeurIPS 2020)
2020
Agnostic learning of a single neuron with gradient descent
Proceeding/Conference:Advances in Neural Information Processing Systems 33 (NeurIPS 2020)
2020
Closing the generalization gap of adaptive gradient methods in training deep neural networks
Proceeding/Conference:Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence
2020
Generalization error bounds of gradient descent for learning over-parameterized deep relu networks
Proceeding/Conference:Proceedings of the AAAI Conference on Artificial Intelligence
2020
Algorithm-dependent generalization bounds for overparameterized deep residual networks
Proceeding/Conference:Advances in Neural Information Processing Systems 32 (NeurIPS 2019)
2019
Tight sample complexity of learning one-hidden-layer convolutional neural networks
Proceeding/Conference:Advances in Neural Information Processing Systems 32 (NeurIPS 2019)
2019
Generalization bounds of stochastic gradient descent for wide and deep neural networks
Proceeding/Conference:Advances in Neural Information Processing Systems 32 (NeurIPS 2019)
2019
The edge density barrier: Computational-statistical tradeoffs in combinatorial inference
Proceeding/Conference:Proceedings of the 35th International Conference on Machine Learning
2018
 
State-Aware Value Function Approximation with Attention Mechanism for Restless Multi-armed Bandits
Proceeding/Conference:The 30th International Joint Conference on Artificial Intelligence (IJCAI)
2021
Collection's Items (Sorted by Submit Date in Descending order): 121 to 140 of 507