Arun Sai Suggala

Arun Sai Suggala

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

Research Areas

Authored Publications
10 results

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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)
    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)
    Improving generalization via meta-learning on hard samples
    Nishant Jain
    Arun Suggala
    Pradeep Shenoy
    CVPR (2024) (to appear)
    Blocked Collaborative Bandits: Online Collaborative Filtering with Per-Item Budget Constraints
    Soumyabrata Pal
    Arun Suggala
    Karthikeyan Shanmugam
    Prateek Jain
    NeurIPS 2023
    Optimal Algorithms for Latent Bandits with Cluster Structure
    Soumyabrata Pal
    Arun Suggala
    Karthikeyan Shanmugam
    Prateek Jain
    AISTATS 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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