Alnur Ali

Publication Activity (10 Years)

Years Active: 2012-2022
Publications (10 Years): 15

Top Topics

Optimization Methods

Reversible Watermarking

Structure Learning

Top Venues

J. Comput. Graph. Stat.

Publications

Maxime Cauchois, Suyash Gupta, Alnur Ali, John C. Duchi
Predictive Inference with Weak Supervision. CoRR (2022)
Guenther Walther, Alnur Ali, Xinyue Shen, Stephen P. Boyd
Confidence Bands for a Log-Concave Density. J. Comput. Graph. Stat. 31 (4) (2022)
Yue Sheng, Alnur Ali
Accelerated Gradient Flow: Risk, Stability, and Implicit Regularization. CoRR (2022)
Akshay Agrawal, Alnur Ali, Stephen P. Boyd
Minimum-Distortion Embedding. Found. Trends Mach. Learn. 14 (3) (2021)
Akshay Agrawal, Alnur Ali, Stephen P. Boyd
Minimum-Distortion Embedding. CoRR (2021)
Maxime Cauchois, Suyash Gupta, Alnur Ali, John C. Duchi
Robust Validation: Confident Predictions Even When Distributions Shift. CoRR (2020)
Alnur Ali, Edgar Dobriban, Ryan J. Tibshirani
The Implicit Regularization of Stochastic Gradient Flow for Least Squares. CoRR (2020)
Alnur Ali, Edgar Dobriban, Ryan J. Tibshirani
The Implicit Regularization of Stochastic Gradient Flow for Least Squares. ICML (2020)
Alnur Ali, J. Zico Kolter, Ryan J. Tibshirani
A Continuous-Time View of Early Stopping for Least Squares Regression. AISTATS (2019)
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)
Alnur Ali, J. Zico Kolter, Ryan J. Tibshirani
A Continuous-Time View of Early Stopping for Least Squares Regression. CoRR (2018)
Alnur Ali, Eric Wong, J. Zico Kolter
A Semismooth Newton Method for Fast, Generic Convex Programming. ICML (2017)
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 (2017)
Alnur Ali, Kshitij Khare, Sang-Yun Oh, Bala Rajaratnam
Generalized Pseudolikelihood Methods for Inverse Covariance Estimation. AISTATS (2017)
Alnur Ali, J. Zico Kolter, Ryan J. Tibshirani
The Multiple Quantile Graphical Model. NIPS (2016)
Alnur Ali, J. Zico Kolter, Steven Diamond, Stephen P. Boyd
Disciplined Convex Stochastic Programming: A New Framework for Stochastic Optimization. UAI (2015)
Alnur Ali, Rich Caruana, Ashish Kapoor
Active Learning with Model Selection. AAAI (2014)
Alnur Ali, Kevyn Collins-Thompson
Robust Cost-Sensitive Confidence-Weighted Classification. ICDM Workshops (2013)
Jianfeng Gao, Shasha Xie, Xiaodong He, Alnur Ali
Learning Lexicon Models from Search Logs for Query Expansion. EMNLP-CoNLL (2012)
Alnur Ali, Marina Meila
Experiments with Kemeny ranking: What works when? Math. Soc. Sci. 64 (1) (2012)