Arun Sai Suggala

Arun Sai Suggala

I’m broadly interested in online learning, game theory, and their applications to reliable and robust machine learning.

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Online Bidding under RoS Constraints without Knowing the Value
Sushant Vijayan
Zhe Feng
Swati Padmanabhan
Karthikeyan Shanmugam
Arun Suggala
Di Wang
The Web Conference (2025)
Improving generalization via meta-learning on hard samples
Nishant Jain
Arun Suggala
Pradeep Shenoy
CVPR (2024) (to appear)
Evaluating PEARL - a Personalized Exercise Assistant using Reinforcement Learning (Walkmate Study)
John Hernandez
Hulya Emir-Farinas
Narayan Hegde
Martin Seneviratne
Arun Suggala
Amy Lee
Jim Taylor
Aravindan Raghuveer
Sriram Lakshminarasimhan
Emily Rosenzweig
OSF Registries (2024)
Optimal Algorithms for Latent Bandits with Cluster Structure
Soumyabrata Pal
Arun Suggala
Karthikeyan Shanmugam
Prateek Jain
AISTATS 2023
Blocked Collaborative Bandits: Online Collaborative Filtering with Per-Item Budget Constraints
Soumyabrata Pal
Arun Suggala
Karthikeyan Shanmugam
Prateek Jain
NeurIPS 2023
Building Robust Ensembles via Margin Boosting
Aaron Courville
Arun Suggala
Dinghuai Zhang
Hongyang Zhang
Pradeep Ravikumar
Yoshua Bengio
International Conference on Machine Learning (2022)
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