Alnur Ali

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Zico KolterCarnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu
Ryan TibshiraniProfessor of Statistics, UC BerkeleyDirección de correo verificada de berkeley.edu
John DuchiAssociate Professor of Statistics and Electrical Engineering, Stanford UniversityDirección de correo verificada de stanford.edu
Maxime CauchoisPhD Student, Stanford UniversityDirección de correo verificada de stanford.edu
Stephen BoydProfessor of Electrical Engineering, Computer Science, and Management Science, StanfordDirección de correo verificada de stanford.edu
Marina MeilaUniversity of WashingtonDirección de correo verificada de stat.washington.edu
Edgar DobribanStatistics & Computer Science, University of PennsylvaniaDirección de correo verificada de upenn.edu
Sang-Yun OhUniversity of California, Santa BarbaraDirección de correo verificada de ucsb.edu
Akshay AgrawalPhD, Stanford UniversityDirección de correo verificada de cs.stanford.edu
Rich CaruanaMicrosoft ResearchDirección de correo verificada de microsoft.com
Ashish KapoorCEO and Chief Scientist, Scaled FoundationsDirección de correo verificada de scaledfoundations.ai
Xiaodong HeAI Lab, JD.com; IEEE/CAAI FellowDirección de correo verificada de washington.edu
Jianfeng GaoMicrosoft Research, RedmondDirección de correo verificada de microsoft.com
Penporn KoanantakoolGoogleDirección de correo verificada de google.com
Steven DiamondGridmaticDirección de correo verificada de cs.stanford.edu
Xinyue ShenResearcher, MetaDirección de correo verificada de meta.com
Brendan MurphyUniversity College DublinDirección de correo verificada de ucd.ie
Eric WongUniversity of PennsylvaniaDirección de correo verificada de cis.upenn.edu

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Alnur Ali

Stanford University

Dirección de correo verificada de stanford.edu - Página principal

statistics machine learning optimization


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Experiments with Kemeny Ranking: What Works When? A Ali, M Meilă Mathematical Social Sciences 64 (1), 28-40, 2012	218	2012
A Continuous-Time View of Early Stopping for Least Squares Regression A Ali, JZ Kolter, RJ Tibshirani The 22nd International Conference on Artificial Intelligence and Statistics …, 2019	146	2019
The Implicit Regularization of Stochastic Gradient Flow for Least Squares A Ali, E Dobriban, R Tibshirani International Conference on Machine Learning, 233-244, 2020	103	2020
Robust Validation: Confident Predictions Even When Distributions Shift M Cauchois, S Gupta, A Ali, JC Duchi arXiv preprint arXiv:2008.04267, 2020	94*	2020
Minimum-Distortion Embedding A Agrawal, A Ali, S Boyd arXiv preprint arXiv:2103.02559, 2021	77	2021
The Generalized Lasso Problem and Uniqueness A Ali, RJ Tibshirani Electronic Journal of Statistics 13 (2), 2307-2347, 2019	60	2019
Active Learning with Model Selection A Ali, R Caruana, A Kapoor Proceedings of the 28th AAAI Conference on Artificial Intelligence, 1673-1679, 2014	51	2014
Learning Lexicon Models from Search Logs for Query Expansion J Gao, X He, S Xie, A Ali Proceedings of the 2012 Joint Conference on Empirical Methods in Natural …, 2012	47	2012
The Multiple Quantile Graphical Model A Ali, JZ Kolter, RJ Tibshirani Advances in Neural Information Processing Systems, 3747-3755, 2016	30	2016
A Semismooth Newton Method for Fast, Generic Convex Programming A Ali, E Wong, JZ Kolter arXiv preprint arXiv:1705.00772, 2017	29	2017
Predictive Inference with Weak Supervision M Cauchois, S Gupta, A Ali, J Duchi arXiv preprint arXiv:2201.08315, 2022	19	2022
Communication-Avoiding Optimization Methods for Distributed Massive-Scale Sparse Inverse Covariance Estimation P Koanantakool, A Ali, A Azad, A Buluc, D Morozov, SY Oh, L Oliker, ... arXiv preprint arXiv:1710.10769, 2017	19	2017
Generalized Pseudolikelihood Methods for Inverse Covariance Estimation A Ali, K Khare, SY Oh, B Rajaratnam arXiv preprint arXiv:1606.00033, 2016	18	2016
Disciplined Convex Stochastic Programming: A New Framework for Stochastic Optimization A Ali, JZ Kolter, S Diamond, S Boyd Proceedings of the 31st Conference on Uncertainty in Artificial Intelligence …, 2015	18	2015
Preferences in College Applications: A Nonparametric Bayesian Analysis of Top-10 Rankings A Ali, TB Murphy, M Meila, H Chen Advances in Neural Information Processing Systems 23, Workshop on …, 2010	4	2010
Accelerated gradient flow: Risk, stability, and implicit regularization Y Sheng, A Ali arXiv preprint arXiv:2201.08311, 2022	3	2022
Minimizing Oracle-Structured Composite Functions X Shen, A Ali, S Boyd Optimization and Engineering, 1-35, 2022	3	2022
A Comment and Erratum on “Excess Optimism: How Biased is the Apparent Error of an Estimator Tuned by SURE?” M Cauchois, A Ali, J Duchi arXiv preprint arXiv:2112.14353, 2021	1	2021
Confidence Bands for a Log-Concave Density G Walther, A Ali, X Shen, S Boyd arXiv preprint arXiv:2011.03668, 2020	1	2020
The Lifecycle of a Statistical Model: Model Failure Detection, Identification, and Refitting A Ali, M Cauchois, JC Duchi arXiv preprint arXiv:2202.04166, 2022		2022

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