Arun Sai Suggala

43 papers A* 17A 2B 1Journal 20Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Learning to Call: A Field Trial of a Collaborative Bandit Algorithm for Improved Message Delivery in Mobile Maternal Health.
CoRR
Arpan Dasgupta, Mizhaan Maniyar, Awadhesh Srivastava, Sanat Kumar, Amrita Mahale, Aparna Hegde, Arun Sai Suggala, Karthikeyan Shanmugam, Aparna Taneja, Milind Tambe
2025 J jnl
Offline-to-online hyperparameter transfer for stochastic bandits.
CoRR
Dravyansh Sharma, Arun Sai Suggala
2024 J jnl
CDQuant: Accurate Post-training Weight Quantization of Large Pre-trained Models using Greedy Coordinate Descent.
CoRR
Pranav Ajit Nair, Arun Sai Suggala
2024 โ€” conf
End-to-End Neural Network Compression via l1/l2 Regularized Latency Surrogates.
CVPR Workshops
Anshul Nasery, Hardik Shah, Arun Sai Suggala, Prateek Jain
2024 A* conf
Improving Generalization via Meta-Learning on Hard Samples.
CVPR
Nishant Jain, Arun Sai Suggala, Pradeep Shenoy
2024 J jnl
Improving Generalization via Meta-Learning on Hard Samples.
CoRR
Nishant Jain, Arun Sai Suggala, Pradeep Shenoy
2024 A* conf
Near-Optimal Streaming Heavy-Tailed Statistical Estimation with Clipped SGD.
NeurIPS
Aniket Das, Dheeraj Nagaraj, Soumyabrata Pal, Arun Sai Suggala, Prateek Varshney
2024 J jnl
Stochastic Re-weighted Gradient Descent via Distributionally Robust Optimization.
Trans. Mach. Learn. Res.
Ramnath Kumar, Kushal Majmundar, Dheeraj Mysore Nagaraj, Arun Sai Suggala
2023 A* conf
Blocked Collaborative Bandits: Online Collaborative Filtering with Per-Item Budget Constraints.
NeurIPS
Soumyabrata Pal, Arun Sai Suggala, Karthikeyan Shanmugam, Prateek Jain
2023 J jnl
Blocked Collaborative Bandits: Online Collaborative Filtering with Per-Item Budget Constraints.
CoRR
Soumyabrata Pal, Arun Sai Suggala, Karthikeyan Shanmugam, Prateek Jain
2023 J jnl
End-to-End Neural Network Compression via ๐“
CoRR
Anshul Nasery, Hardik Shah, Arun Sai Suggala, Prateek Jain
2023 A* conf
Flexible Budgets in Restless Bandits: A Primal-Dual Algorithm for Efficient Budget Allocation.
AAAI
Paula Rodriguez Diaz, Jackson A. Killian, Lily Xu, Arun Sai Suggala, Aparna Taneja, Milind Tambe
2023 A* conf
Label Robust and Differentially Private Linear Regression: Computational and Statistical Efficiency.
NeurIPS
Xiyang Liu, Prateek Jain, Weihao Kong, Sewoong Oh, Arun Sai Suggala
2023 J jnl
Near Optimal Private and Robust Linear Regression.
CoRR
Xiyang Liu, Prateek Jain, Weihao Kong, Sewoong Oh, Arun Sai Suggala
2023 A conf
Optimal Algorithms for Latent Bandits with Cluster Structure.
AISTATS
Soumyabrata Pal, Arun Sai Suggala, Karthikeyan Shanmugam, Prateek Jain
2023 J jnl
Optimal Algorithms for Latent Bandits with Cluster Structure.
CoRR
Soumyabrata Pal, Arun Sai Suggala, Karthikeyan Shanmugam, Prateek Jain
2023 J jnl
Optimal Best-Arm Identification in Bandits with Access to Offline Data.
CoRR
Shubhada Agrawal, Sandeep Juneja, Karthikeyan Shanmugam, Arun Sai Suggala
2023 J jnl
Stochastic Re-weighted Gradient Descent via Distributionally Robust Optimization.
CoRR
Ramnath Kumar, Kushal Majmundar, Dheeraj Nagaraj, Arun Sai Suggala
2022 A* conf
Building Robust Ensembles via Margin Boosting.
ICML
Dinghuai Zhang, Hongyang Zhang, Aaron C. Courville, Yoshua Bengio, Pradeep Ravikumar, Arun Sai Suggala
2022 J jnl
Building Robust Ensembles via Margin Boosting.
CoRR
Dinghuai Zhang, Hongyang Zhang, Aaron C. Courville, Yoshua Bengio, Pradeep Ravikumar, Arun Sai Suggala
2022 โ€” โ€”
Statistical Game Theory.
Arun Sai Suggala
2021 A* conf
Boosted CVaR Classification.
NeurIPS
Runtian Zhai, Chen Dan, Arun Sai Suggala, J. Zico Kolter, Pradeep Ravikumar
2021 J jnl
Boosted CVaR Classification.
CoRR
Runtian Zhai, Chen Dan, Arun Sai Suggala, J. Zico Kolter, Pradeep Ravikumar
2021 A* conf
Efficient Bandit Convex Optimization: Beyond Linear Losses.
COLT
Arun Sai Suggala, Pradeep Ravikumar, Praneeth Netrapalli
2020 A* conf
Follow the Perturbed Leader: Optimism and Fast Parallel Algorithms for Smooth Minimax Games.
NeurIPS
Arun Sai Suggala, Praneeth Netrapalli
2020 J jnl
Follow the Perturbed Leader: Optimism and Fast Parallel Algorithms for Smooth Minimax Games.
CoRR
Arun Sai Suggala, Praneeth Netrapalli
2020 A* conf
Generalized Boosting.
NeurIPS
Arun Sai Suggala, Bingbin Liu, Pradeep Ravikumar
2020 J jnl
Learning Minimax Estimators via Online Learning.
CoRR
Kartik Gupta, Arun Sai Suggala, Adarsh Prasad, Praneeth Netrapalli, Pradeep Ravikumar
2020 B conf
Online Non-Convex Learning: Following the Perturbed Leader is Optimal.
ALT
Arun Sai Suggala, Praneeth Netrapalli
2019 A* conf
Adaptive Hard Thresholding for Near-optimal Consistent Robust Regression.
COLT
Arun Sai Suggala, Kush Bhatia, Pradeep Ravikumar, Prateek Jain
2019 J jnl
Adaptive Hard Thresholding for Near-optimal Consistent Robust Regression.
CoRR
Arun Sai Suggala, Kush Bhatia, Pradeep Ravikumar, Prateek Jain
2019 J jnl
How Sensitive are Sensitivity-Based Explanations?
CoRR
Chih-Kuan Yeh, Cheng-Yu Hsieh, Arun Sai Suggala, David I. Inouye, Pradeep Ravikumar
2019 A* conf
On the (In)fidelity and Sensitivity of Explanations.
NeurIPS
Chih-Kuan Yeh, Cheng-Yu Hsieh, Arun Sai Suggala, David I. Inouye, Pradeep Ravikumar
2019 J jnl
Online Non-Convex Learning: Following the Perturbed Leader is Optimal.
CoRR
Arun Sai Suggala, Praneeth Netrapalli
2019 A conf
Revisiting Adversarial Risk.
AISTATS
Arun Sai Suggala, Adarsh Prasad, Vaishnavh Nagarajan, Pradeep Ravikumar
2018 A* conf
Connecting Optimization and Regularization Paths.
NeurIPS
Arun Sai Suggala, Adarsh Prasad, Pradeep Ravikumar
2018 J jnl
On Adversarial Risk and Training.
CoRR
Arun Sai Suggala, Adarsh Prasad, Vaishnavh Nagarajan, Pradeep Ravikumar
2018 J jnl
Robust Estimation via Robust Gradient Estimation.
CoRR
Adarsh Prasad, Arun Sai Suggala, Sivaraman Balakrishnan, Pradeep Ravikumar
2017 A* conf
Latent Feature Lasso.
ICML
Ian En-Hsu Yen, Wei-Cheng Lee, Sung-En Chang, Arun Sai Suggala, Shou-De Lin, Pradeep Ravikumar
2017 A* conf
Ordinal Graphical Models: A Tale of Two Approaches.
ICML
Arun Sai Suggala, Eunho Yang, Pradeep Ravikumar
2017 A* conf
ProtoNN: Compressed and Accurate kNN for Resource-scarce Devices.
ICML
Chirag Gupta, Arun Sai Suggala, Ankit Goyal, Harsha Vardhan Simhadri, Bhargavi Paranjape, Ashish Kumar, Saurabh Goyal, Raghavendra Udupa, Manik Varma, Prateek Jain
2017 โ€” conf
The Expxorcist: Nonparametric Graphical Models Via Conditional Exponential Densities.
NIPS
Arun Sai Suggala, Mladen Kolar, Pradeep Ravikumar
2015 A* conf
Vector-Space Markov Random Fields via Exponential Families.
ICML
Wesley Tansey, Oscar Hernan Madrid Padilla, Arun Sai Suggala, Pradeep Ravikumar