Suggala, Arun

19 publications

TMLR 2026 Regret Minimization in Linear Bandits with Offline Data via Extended D-Optimal Exploration. Sushant Vijayan, Arun Suggala, Karthikeyan Shanmugam, Soumyabrata Pal

ICLR 2026 Robust Reward Modeling via Causal Rubrics Pragya Srivastava, Harman Singh, Rahul Madhavan, Gandharv Patil, Sravanti Addepalli, Arun Suggala, Rengarajan Aravamudhan, Soumya Sharma, Anirban Laha, Aravindan Raghuveer, Karthikeyan Shanmugam, Doina Precup

ICLR 2025 Does Safety Training of LLMs Generalize to Semantically Related Natural Prompts? Sravanti Addepalli, Yerram Varun, Arun Suggala, Karthikeyan Shanmugam, Prateek Jain

MLHC 2025 Learning to Call: A Field Trial of a Collaborative Bandit Algorithm for Optimizing Call Timing in Mobile Maternal Health Arpan Dasgupta, Mizhaan Prajit Maniyar, Awadhesh Srivastava, Sanat Kumar, Amrita Mahale, Aparna Hegde, Arun Suggala, Karthikeyan Shanmugam, Milind Tambe, Aparna Taneja

NeurIPSW 2024 CDQuant: Greedy Coordinate Descent for Accurate LLM Quantization Pranav Ajit Nair, Arun Suggala

NeurIPSW 2024 Does Safety Training of LLMs Generalize to Semantically Related Natural Prompts? Sravanti Addepalli, Yerram Varun, Arun Suggala, Karthikeyan Shanmugam, Prateek Jain

COLT 2024 Second Order Methods for Bandit Optimization and Control Arun Suggala, Y Jennifer Sun, Praneeth Netrapalli, Elad Hazan

TMLR 2024 Stochastic Re-Weighted Gradient Descent via Distributionally Robust Optimization Ramnath Kumar, Kushal Alpesh Majmundar, Dheeraj Mysore Nagaraj, Arun Suggala

NeurIPS 2024 Time-Reversal Provides Unsupervised Feedback to LLMs Varun Yerram, Rahul Madhavan, Sravanti Addepalli, Arun Suggala, Karthikeyan Shanmugam, Prateek Jain

NeurIPS 2023 Blocked Collaborative Bandits: Online Collaborative Filtering with Per-Item Budget Constraints Soumyabrata Pal, Arun Suggala, Karthikeyan Shanmugam, Prateek Jain

NeurIPS 2023 Label Robust and Differentially Private Linear Regression: Computational and Statistical Efficiency Xiyang Liu, Prateek Jain, Weihao Kong, Sewoong Oh, Arun Suggala

ICLRW 2023 Max-Margin Inspired Per-Sample Re-Weighting for Robust Deep Learning Ramnath Kumar, Kushal Alpesh Majmundar, Dheeraj Mysore Nagaraj, Arun Suggala

NeurIPS 2023 Responsible AI (RAI) Games and Ensembles Yash Gupta, Runtian Zhai, Arun Suggala, Pradeep K. Ravikumar

NeurIPS 2021 Boosted CVaR Classification Runtian Zhai, Chen Dan, Arun Suggala, J. Zico Kolter, Pradeep K. Ravikumar

NeurIPS 2020 Follow the Perturbed Leader: Optimism and Fast Parallel Algorithms for Smooth Minimax Games Arun Suggala, Praneeth Netrapalli

NeurIPS 2020 Generalized Boosting Arun Suggala, Bingbin Liu, Pradeep K. Ravikumar

NeurIPS 2019 On the (In)fidelity and Sensitivity of Explanations Chih-Kuan Yeh, Cheng-Yu Hsieh, Arun Suggala, David I Inouye, Pradeep K Ravikumar

NeurIPS 2018 Connecting Optimization and Regularization Paths Arun Suggala, Adarsh Prasad, Pradeep K Ravikumar

NeurIPS 2017 The Expxorcist: Nonparametric Graphical Models via Conditional Exponential Densities Arun Suggala, Mladen Kolar, Pradeep K Ravikumar