Alnur Ali

23 papers A* 3A 4Journal 12Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
A State-of-the-Art SQL Reasoning Model using RLVR.
CoRR
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
2024 J jnl
Predictive Inference with Weak Supervision.
J. Mach. Learn. Res.
Maxime Cauchois, Suyash Gupta, Alnur Ali, John C. Duchi
2022 J jnl
Accelerated Gradient Flow: Risk, Stability, and Implicit Regularization.
CoRR
Yue Sheng, Alnur Ali
2022 J jnl
Confidence Bands for a Log-Concave Density.
J. Comput. Graph. Stat.
Guenther Walther, Alnur Ali, Xinyue Shen, Stephen P. Boyd
2022 J jnl
Predictive Inference with Weak Supervision.
CoRR
Maxime Cauchois, Suyash Gupta, Alnur Ali, John C. Duchi
2021 J jnl
Minimum-Distortion Embedding.
CoRR
Akshay Agrawal, Alnur Ali, Stephen P. Boyd
2021 J jnl
Minimum-Distortion Embedding.
Found. Trends Mach. Learn.
Akshay Agrawal, Alnur Ali, Stephen P. Boyd
2020 J jnl
Robust Validation: Confident Predictions Even When Distributions Shift.
CoRR
Maxime Cauchois, Suyash Gupta, Alnur Ali, John C. Duchi
2020 A* conf
The Implicit Regularization of Stochastic Gradient Flow for Least Squares.
ICML
Alnur Ali, Edgar Dobriban, Ryan J. Tibshirani
2020 J jnl
The Implicit Regularization of Stochastic Gradient Flow for Least Squares.
CoRR
Alnur Ali, Edgar Dobriban, Ryan J. Tibshirani
2019 A conf
A Continuous-Time View of Early Stopping for Least Squares Regression.
AISTATS
Alnur Ali, J. Zico Kolter, Ryan J. Tibshirani
2019 — —
Statistical and Computational Properties of Some "User-Friendly" Methods for High-Dimensional Estimation.
Alnur Ali
2018 J jnl
A Continuous-Time View of Early Stopping for Least Squares Regression.
CoRR
Alnur Ali, J. Zico Kolter, Ryan J. Tibshirani
2018 A conf
Communication-Avoiding Optimization Methods for Distributed Massive-Scale Sparse Inverse Covariance Estimation.
AISTATS
Penporn Koanantakool, Alnur Ali, Ariful Azad, Aydin Buluç, Dmitriy Morozov, Leonid Oliker, Katherine A. Yelick, Sang-Yun Oh
2017 A* conf
A Semismooth Newton Method for Fast, Generic Convex Programming.
ICML
Alnur Ali, Eric Wong, J. Zico Kolter
2017 J jnl
Communication-Avoiding Optimization Methods for Massive-Scale Graphical Model Structure Learning.
CoRR
Penporn Koanantakool, Alnur Ali, Ariful Azad, Aydin Buluç, Dmitriy Morozov, Sang-Yun Oh, Leonid Oliker, Katherine A. Yelick
2017 A conf
Generalized Pseudolikelihood Methods for Inverse Covariance Estimation.
AISTATS
Alnur Ali, Kshitij Khare, Sang-Yun Oh, Bala Rajaratnam
2016 — conf
The Multiple Quantile Graphical Model.
NIPS
Alnur Ali, J. Zico Kolter, Ryan J. Tibshirani
2015 A conf
Disciplined Convex Stochastic Programming: A New Framework for Stochastic Optimization.
UAI
Alnur Ali, J. Zico Kolter, Steven Diamond, Stephen P. Boyd
2014 A* conf
Active Learning with Model Selection.
AAAI
Alnur Ali, Rich Caruana, Ashish Kapoor
2013 — conf
Robust Cost-Sensitive Confidence-Weighted Classification.
ICDM Workshops
Alnur Ali, Kevyn Collins-Thompson
2012 J jnl
Experiments with Kemeny ranking: What works when?
Math. Soc. Sci.
Alnur Ali, Marina Meila
2012 — conf
Learning Lexicon Models from Search Logs for Query Expansion.
EMNLP-CoNLL
Jianfeng Gao, Shasha Xie, Xiaodong He, Alnur Ali