Ali, Alnur

10 publications

JMLR 2024 Predictive Inference with Weak Supervision Maxime Cauchois, Suyash Gupta, Alnur Ali, John C. Duchi

FnTML 2021 Minimum-Distortion Embedding Akshay Agrawal, Alnur Ali, Stephen P. Boyd

ICML 2020 The Implicit Regularization of Stochastic Gradient Flow for Least Squares Alnur Ali, Edgar Dobriban, Ryan Tibshirani

AISTATS 2019 A Continuous-Time View of Early Stopping for Least Squares Regression Alnur Ali, J. Zico Kolter, Ryan J. Tibshirani

AISTATS 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

ICML 2017 A Semismooth Newton Method for Fast, Generic Convex Programming Alnur Ali, Eric Wong, J. Zico Kolter

AISTATS 2017 Generalized Pseudolikelihood Methods for Inverse Covariance Estimation Alnur Ali, Kshitij Khare, Sang-Yun Oh, Bala Rajaratnam

NeurIPS 2016 The Multiple Quantile Graphical Model Alnur Ali, J. Zico Kolter, Ryan J Tibshirani

UAI 2015 Disciplined Convex Stochastic Programming: A New Framework for Stochastic Optimization Alnur Ali, J. Zico Kolter, Steven Diamond, Stephen P. Boyd

AAAI 2014 Active Learning with Model Selection Alnur Ali, Rich Caruana, Ashish Kapoor