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2020 – today
- 2024
[j4]Maxime Cauchois, Suyash Gupta, Alnur Ali, John C. Duchi:
Predictive Inference with Weak Supervision. J. Mach. Learn. Res. 25: 118:1-118:45 (2024)- 2022
- [j3]Guenther Walther
, Alnur Ali, Xinyue Shen, Stephen P. Boyd:
Confidence Bands for a Log-Concave Density. J. Comput. Graph. Stat. 31(4): 1426-1438 (2022) - [i7]Yue Sheng, Alnur Ali:
Accelerated Gradient Flow: Risk, Stability, and Implicit Regularization. CoRR abs/2201.08311 (2022) - [i6]Maxime Cauchois, Suyash Gupta, Alnur Ali, John C. Duchi:
Predictive Inference with Weak Supervision. CoRR abs/2201.08315 (2022) - 2021
- [j2]Akshay Agrawal, Alnur Ali, Stephen P. Boyd:
Minimum-Distortion Embedding. Found. Trends Mach. Learn. 14(3): 211-378 (2021) - [i5]Akshay Agrawal, Alnur Ali, Stephen P. Boyd:
Minimum-Distortion Embedding. CoRR abs/2103.02559 (2021) - 2020
- [c10]Alnur Ali, Edgar Dobriban, Ryan J. Tibshirani:
The Implicit Regularization of Stochastic Gradient Flow for Least Squares. ICML 2020: 233-244 - [i4]Alnur Ali, Edgar Dobriban, Ryan J. Tibshirani:
The Implicit Regularization of Stochastic Gradient Flow for Least Squares. CoRR abs/2003.07802 (2020) - [i3]Maxime Cauchois, Suyash Gupta, Alnur Ali, John C. Duchi:
Robust Validation: Confident Predictions Even When Distributions Shift. CoRR abs/2008.04267 (2020)
2010 – 2019
- 2019
- [b1]Alnur Ali:
Statistical and Computational Properties of Some "User-Friendly" Methods for High-Dimensional Estimation. Carnegie Mellon University, USA, 2019 - [c9]Alnur Ali, J. Zico Kolter, Ryan J. Tibshirani:
A Continuous-Time View of Early Stopping for Least Squares Regression. AISTATS 2019: 1370-1378 - 2018
- [c8]Penporn Koanantakool, Alnur Ali, Ariful Azad, Aydin Buluç, Dmitriy Morozov, Leonid Oliker, Katherine A. Yelick, Sang-Yun Oh:
Communication-Avoiding Optimization Methods for Distributed Massive-Scale Sparse Inverse Covariance Estimation. AISTATS 2018: 1376-1386 - [i2]Alnur Ali, J. Zico Kolter, Ryan J. Tibshirani:
A Continuous-Time View of Early Stopping for Least Squares Regression. CoRR abs/1810.10082 (2018) - 2017
- [c7]Alnur Ali, Kshitij Khare, Sang-Yun Oh, Bala Rajaratnam:
Generalized Pseudolikelihood Methods for Inverse Covariance Estimation. AISTATS 2017: 280-288 - [c6]Alnur Ali, Eric Wong, J. Zico Kolter:
A Semismooth Newton Method for Fast, Generic Convex Programming. ICML 2017: 70-79 - [i1]Penporn Koanantakool, Alnur Ali, Ariful Azad, Aydin Buluç, Dmitriy Morozov, Sang-Yun Oh, Leonid Oliker, Katherine A. Yelick:
Communication-Avoiding Optimization Methods for Massive-Scale Graphical Model Structure Learning. CoRR abs/1710.10769 (2017) - 2016
- [c5]Alnur Ali, J. Zico Kolter, Ryan J. Tibshirani:
The Multiple Quantile Graphical Model. NIPS 2016: 3747-3755 - 2015
- [c4]Alnur Ali, J. Zico Kolter, Steven Diamond, Stephen P. Boyd:
Disciplined Convex Stochastic Programming: A New Framework for Stochastic Optimization. UAI 2015: 62-71 - 2014
- [c3]Alnur Ali, Rich Caruana, Ashish Kapoor:
Active Learning with Model Selection. AAAI 2014: 1673-1679 - 2013
- [c2]Alnur Ali, Kevyn Collins-Thompson:
Robust Cost-Sensitive Confidence-Weighted Classification. ICDM Workshops 2013: 742-749 - 2012
- [j1]Alnur Ali, Marina Meila:
Experiments with Kemeny ranking: What works when? Math. Soc. Sci. 64(1): 28-40 (2012) - [c1]Jianfeng Gao, Shasha Xie, Xiaodong He, Alnur Ali:
Learning Lexicon Models from Search Logs for Query Expansion. EMNLP-CoNLL 2012: 666-676
Coauthor Index
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