2026 Aarti Singh: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	42	8508	8269	3638	3500	157	6066

Overview

Aarti Singh is affiliated with Carnegie Mellon University in the United States. Their research primarily spans the field of Computer Science, with significant contributions to subfields such as Artificial Intelligence, Management Science and Operations Research, Statistics and Probability, Economics and Econometrics, and Computational Mechanics.

Their scholarly work focuses on a range of topics, including:

Advanced Bandit Algorithms Research
Machine Learning and Algorithms
Reinforcement Learning in Robotics
Statistical Methods and Inference
Sparse and Compressive Sensing Techniques
Explainable Artificial Intelligence (XAI)
Expert finding and Q&A systems

Aarti Singh has authored multiple papers across several notable venues. Some of their recent published works include:

"Classification accuracy as a proxy for two-sample testing," 2021, The Annals of Statistics
"Near-optimal discrete optimization for experimental design: a regret minimization approach," 2020, Mathematical Programming
"Prior and Prejudice," 2021, Proceedings of the ACM on Human-Computer Interaction
"A large scale randomized controlled trial on herding in peer-review discussions," 2023, PLoS ONE
"Estimating household consumption insurance," 2021, Journal of Applied Econometrics

The frequent publication venues where Aarti Singh's work appears include:

arXiv (Cornell University)
The Annals of Statistics
Mathematical Programming
Proceedings of the ACM on Human-Computer Interaction
PLoS ONE

Collaborative research is also a feature of Aarti Singh's career. Regular coauthors include:

Aaditya Ramdas
Nihar B. Shah
Hal Daumé
Dhruv Malik
Yuanzhi Li

Their contributions span statistical inference methods, optimization approaches in experimental design, machine learning algorithms, and applications in economics and robotics. These research efforts align with current trends in artificial intelligence and operations research.

Best Publications

Gradient Descent Provably Optimizes Over-parameterized Neural Networks

Simon S. Du;Xiyu Zhai;Barnabas Poczos;Aarti Singh

703
Citations
Confidence sets for persistence diagrams

Brittany Therese Fasy;Fabrizio Lecci;Alessandro Rinaldo;Larry Wasserman

302
Citations
Unlabeled data: Now it helps, now it doesn't

Aarti Singh;Robert Nowak;Xiaojin Zhu

274
Citations
Data Poisoning Attacks on Factorization-Based Collaborative Filtering

Bo Li;Yining Wang;Aarti Singh;Yevgeniy Vorobeychik

249
Citations
Decentralized compression and predistribution via randomized gossiping

Michael Rabbat;Jarvis Haupt;Aarti Singh;Robert Nowak

214
Citations
Gradient Descent Can Take Exponential Time to Escape Saddle Points

Simon S. Du;Chi Jin;Jason D. Lee;Michael I. Jordan

198
Citations
Multi-Manifold Semi-Supervised Learning

Andrew B. Goldberg;Xiaojin Zhu;Aarti Singh;Zhiting Xu

175
Citations
Quantifying Differences and Similarities in Whole-Brain White Matter Architecture Using Local Connectome Fingerprints.

Fang-Cheng Yeh;Jean M. Vettel;Aarti Singh;Barnabás Póczos

172
Citations
On the decreasing power of kernel and distance based nonparametric hypothesis tests in high dimensions

Aaditya Ramdas;Sashank J. Reddi;Barnabás Póczos;Aarti Singh

169
Citations
Gradient Descent Learns One-hidden-layer CNN: Don’t be Afraid of Spurious Local Minima

Simon S. Du;Jason D. Lee;Yuandong Tian;Barnabas Poczos

165
Citations
Low-Rank Matrix and Tensor Completion via Adaptive Sampling

Akshay Krishnamurthy;Aarti Singh

153
Citations
Signal Recovery on Graphs: Fundamental Limits of Sampling Strategies

Siheng Chen;Rohan Varma;Aarti Singh;Jelena Kovacevic

136
Citations
Active learning for adaptive mobile sensing networks

Aarti Singh;Robert Nowak;Parmesh Ramanathan

128
Citations
Noise Thresholds for Spectral Clustering

Sivaraman Balakrishnan;Min Xu;Akshay Krishnamurthy;Aarti Singh

111
Citations
Gradient Descent Can Take Exponential Time to Escape Saddle Points

Simon S. Du;Chi Jin;Jason D. Lee;Michael I. Jordan

109
Citations
Computationally Efficient Robust Sparse Estimation in High Dimensions

Sivaraman Balakrishnan;Simon S. Du;Jerry Li;Aarti Singh

102
Citations
Efficient Active Algorithms for Hierarchical Clustering

Akshay Krishnamurthy;Sivaraman Balakrishnan;Min Xu;Aarti Singh

92
Citations
Distribution-Free Distribution Regression

Barnabás Póczos;Aarti Singh;Alessandro Rinaldo;Larry A. Wasserman

89
Citations
Sparsistency of the Edge Lasso over Graphs

James Sharpnack;Alessandro Rinaldo;Aarti Singh

88
Citations
ADAPTIVE HAUSDORFF ESTIMATION OF DENSITY LEVEL SETS

Aarti Singh;Clayton Scott;Robert Nowak

84
Citations
Statistical Inference For Persistent Homology: Confidence Sets For Persistence Diagrams

Brittany Terese Fasy;Fabrizio Lecci;Alessandro Rinaldo;Larry Wasserman

7
Citations

Frequent Co-Authors

Larry Wasserman Carnegie Mellon University

Barnabás Póczos Carnegie Mellon University

Alessandro Rinaldo The University of Texas at Austin

Simon S. Du University of Washington

Akshay Krishnamurthy Microsoft (United States)

John H. Booske University of Wisconsin–Madison

Nihar B. Shah Carnegie Mellon University

Robert Nowak University of Wisconsin–Madison

Jelena Kovacevic New York University

Timothy Verstynen Carnegie Mellon University

External Links

Personal website of Aarti Singh Google Scholar page

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