Arun Sai Suggala

Arun Sai Suggala

Carnegie Mellon University

H-index: 13

North America-United States

About Arun Sai Suggala

Arun Sai Suggala, With an exceptional h-index of 13 and a recent h-index of 12 (since 2020), a distinguished researcher at Carnegie Mellon University, specializes in the field of Machine Learning, Statistics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Second Order Methods for Bandit Optimization and Control

Label Robust and Differentially Private Linear Regression: Computational and Statistical Efficiency

Blocked Collaborative Bandits: Online Collaborative Filtering with Per-Item Budget Constraints

Improving Mobile Maternal and Child Health Care Programs: Collaborative Bandits for Time slot selection

Responsible AI (RAI) Games and Ensembles

Improving generalization via meta-learning on hard samples

Efficient Public Health Intervention Planning Using Decomposition-Based Decision-Focused Learning

Optimal Best-Arm Identification in Bandits with Access to Offline Data

Arun Sai Suggala Information

University

Position

___

Citations(all)

1160

Citations(since 2020)

1100

Cited By

414

hIndex(all)

13

hIndex(since 2020)

12

i10Index(all)

14

i10Index(since 2020)

13

Email

University Profile Page

Carnegie Mellon University

Google Scholar

View Google Scholar Profile

Arun Sai Suggala Skills & Research Interests

Machine Learning

Statistics

Top articles of Arun Sai Suggala

Title

Journal

Author(s)

Publication Date

Second Order Methods for Bandit Optimization and Control

arXiv preprint arXiv:2402.08929

Arun Suggala

Y Jennifer Sun

Praneeth Netrapalli

Elad Hazan

2024/2/14

Label Robust and Differentially Private Linear Regression: Computational and Statistical Efficiency

Advances in Neural Information Processing Systems

Xiyang Liu

Prateek Jain

Weihao Kong

Sewoong Oh

Arun Suggala

2024/2/13

Blocked Collaborative Bandits: Online Collaborative Filtering with Per-Item Budget Constraints

Advances in Neural Information Processing Systems

Soumyabrata Pal

Arun Suggala

Karthikeyan Shanmugam

Prateek Jain

2024/2/13

Improving Mobile Maternal and Child Health Care Programs: Collaborative Bandits for Time slot selection

Soumyabrata Pal

Milind Tambe

Arun Suggala

Aparna Taneja

2024/5/6

Responsible AI (RAI) Games and Ensembles

NeurIPS 2023

Yash Gupta

Runtian Zhai

Arun Suggala

Pradeep Ravikumar

2023/10/28

Improving generalization via meta-learning on hard samples

arXiv preprint arXiv:2403.12236

Nishant Jain

Arun S Suggala

Pradeep Shenoy

2024

Efficient Public Health Intervention Planning Using Decomposition-Based Decision-Focused Learning

arXiv preprint arXiv:2403.05683

Sanket Shah

Arun Suggala

Milind Tambe

Aparna Taneja

2024/3/8

Optimal Best-Arm Identification in Bandits with Access to Offline Data

arXiv preprint arXiv:2306.09048

Shubhada Agrawal

Sandeep Juneja

Karthikeyan Shanmugam

Arun Sai Suggala

2023/6/15

Stochastic re-weighted gradient descent via distributionally robust optimization

arXiv preprint arXiv:2306.09222

Ramnath Kumar

Kushal Majmundar

Dheeraj Nagaraj

Arun Sai Suggala

2023/6/15

End-to-End Neural Network Compression via Regularized Latency Surrogates

arXiv preprint arXiv:2306.05785

Anshul Nasery

Hardik Shah

Arun Sai Suggala

Prateek Jain

2023/6/9

Optimal algorithms for latent bandits with cluster structure

Soumyabrata Pal

Arun Sai Suggala

Karthikeyan Shanmugam

Prateek Jain

2023/4/11

Flexible budgets in restless bandits: a primal-dual algorithm for efficient budget allocation

Proceedings of the AAAI Conference on Artificial Intelligence

Paula Rodriguez Diaz

Jackson A Killian

Lily Xu

Arun Sai Suggala

Aparna Taneja

...

2023/6/26

Multivariate Time Series Forecasting

S Suhas

Arun Suggala

Prateek Jain

Praneeth Nethrapalli

2022/5

Statistical Game Theory

Arun Sai Suggala

2022

Be greedy–a simple algorithm for blackbox optimization using neural networks

ICML2022 Workshop on Adaptive Experimental Design and Active Learning in the Real World

Biswajit Paria

Barnabàs Pòczos

Pradeep Ravikumar

Jeff Schneider

Arun Sai Suggala

2022

Building robust ensembles via margin boosting

Dinghuai Zhang

Hongyang Zhang

Aaron Courville

Yoshua Bengio

Pradeep Ravikumar

...

2022/6/28

Boosted cvar classification

Runtian Zhai

Chen Dan

Arun Sai Suggala

Zico Kolter

Pradeep Ravikumar

2021/10/26

Efficient bandit convex optimization: Beyond linear losses

Arun Sai Suggala

Pradeep Ravikumar

Praneeth Netrapalli

2021/7/21

Learning minimax estimators via online learning

arXiv preprint arXiv:2006.11430

Kartik Gupta

Arun Sai Suggala

Adarsh Prasad

Praneeth Netrapalli

Pradeep Ravikumar

2020/6/19

Online non-convex learning: Following the perturbed leader is optimal

Arun Sai Suggala

Praneeth Netrapalli

2020/1/28

See List of Professors in Arun Sai Suggala University(Carnegie Mellon University)