Alnur Ali

According to our database, Alnur Ali authored at least 19 papers between 2012 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A State-of-the-Art SQL Reasoning Model using RLVR.

Alnur Ali, Ashutosh Baheti, Jonathan Chang, Ta-Chung Chi, Brandon Cui, Andrew Drozdov, Jonathan Frankle, Abhay Gupta, Pallavi Koppol, Sean Kulinski, Jonathan Li, Dipendra Misra, Krista Opsahl-Ong, Jose Javier Gonzalez Ortiz, Matei Zaharia, Yue Zhang

CoRR, September, 2025

2024

Predictive Inference with Weak Supervision.

Maxime Cauchois, Suyash Gupta, Alnur Ali, John C. Duchi

J. Mach. Learn. Res., 2024

2022

Confidence Bands for a Log-Concave Density.

Guenther Walther, Alnur Ali, Xinyue Shen, Stephen P. Boyd

J. Comput. Graph. Stat., October, 2022

Accelerated Gradient Flow: Risk, Stability, and Implicit Regularization.

Yue Sheng, Alnur Ali

CoRR, 2022

2021

Minimum-Distortion Embedding.

Akshay Agrawal, Alnur Ali, Stephen P. Boyd

Found. Trends Mach. Learn., 2021

2020

Robust Validation: Confident Predictions Even When Distributions Shift.

Maxime Cauchois, Suyash Gupta, Alnur Ali, John C. Duchi

CoRR, 2020

The Implicit Regularization of Stochastic Gradient Flow for Least Squares.

Alnur Ali, Edgar Dobriban, Ryan J. Tibshirani

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Statistical and Computational Properties of Some "User-Friendly" Methods for High-Dimensional Estimation.

Alnur Ali

PhD thesis, 2019

A Continuous-Time View of Early Stopping for Least Squares Regression.

Alnur Ali, J. Zico Kolter, Ryan J. Tibshirani

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Communication-Avoiding Optimization Methods for Distributed Massive-Scale Sparse Inverse Covariance Estimation.

Penporn Koanantakool, Alnur Ali, Ariful Azad, Aydin Buluç, Dmitriy Morozov, Leonid Oliker, Katherine A. Yelick, Sang-Yun Oh

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Communication-Avoiding Optimization Methods for Massive-Scale Graphical Model Structure Learning.

Penporn Koanantakool, Alnur Ali, Ariful Azad, Aydin Buluç, Dmitriy Morozov, Sang-Yun Oh, Leonid Oliker, Katherine A. Yelick

CoRR, 2017

A Semismooth Newton Method for Fast, Generic Convex Programming.

Alnur Ali, Eric Wong, J. Zico Kolter

Proceedings of the 34th International Conference on Machine Learning, 2017

Generalized Pseudolikelihood Methods for Inverse Covariance Estimation.

Alnur Ali, Kshitij Khare, Sang-Yun Oh, Bala Rajaratnam

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

The Multiple Quantile Graphical Model.

Alnur Ali, J. Zico Kolter, Ryan J. Tibshirani

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Disciplined Convex Stochastic Programming: A New Framework for Stochastic Optimization.

Alnur Ali, J. Zico Kolter, Steven Diamond, Stephen P. Boyd

Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

2014

Active Learning with Model Selection.

Alnur Ali, Rich Caruana, Ashish Kapoor

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Robust Cost-Sensitive Confidence-Weighted Classification.

Alnur Ali, Kevyn Collins-Thompson

Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

2012

Experiments with Kemeny ranking: What works when?

Alnur Ali, Marina Meila

Math. Soc. Sci., 2012

Learning Lexicon Models from Search Logs for Query Expansion.

Jianfeng Gao, Shasha Xie, Xiaodong He, Alnur Ali

Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012