Arun Sai Suggala

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 41

Top Topics

Linear Regression

Top Venues

Publications

Arun Sai Suggala, Y. Jennifer Sun, Praneeth Netrapalli, Elad Hazan
Second Order Methods for Bandit Optimization and Control. COLT (2024)
Pranav Ajit Nair, Arun Sai Suggala
CDQuant: Accurate Post-training Weight Quantization of Large Pre-trained Models using Greedy Coordinate Descent. CoRR (2024)
Sanket Shah, Arun Sai Suggala, Milind Tambe, Aparna Taneja
Efficient Public Health Intervention Planning Using Decomposition-Based Decision-Focused Learning. CoRR (2024)
Sanket Shah, Arun Sai Suggala, Milind Tambe, Aparna Taneja
Efficient Public Health Intervention Planning Using Decomposition-Based Decision-focused Learning. AAMAS (2024)
Arun Sai Suggala, Y. Jennifer Sun, Praneeth Netrapalli, Elad Hazan
Second Order Methods for Bandit Optimization and Control. CoRR (2024)
Soumyabrata Pal, Milind Tambe, Arun Sai Suggala, Karthikeyan Shanmugam, Aparna Taneja
Improving Mobile Maternal and Child Health Care Programs: Collaborative Bandits for Time Slot Selection. AAMAS (2024)
Ramnath Kumar, Kushal Majmundar, Dheeraj Nagaraj, Arun Sai Suggala
Stochastic Re-weighted Gradient Descent via Distributionally Robust Optimization. CoRR (2023)
Soumyabrata Pal, Arun Sai Suggala, Karthikeyan Shanmugam, Prateek Jain
Blocked Collaborative Bandits: Online Collaborative Filtering with Per-Item Budget Constraints. NeurIPS (2023)
Paula Rodriguez Diaz, Jackson A. Killian, Lily Xu, Arun Sai Suggala, Aparna Taneja, Milind Tambe
Flexible Budgets in Restless Bandits: A Primal-Dual Algorithm for Efficient Budget Allocation. AAAI (2023)
Yash Gupta, Runtian Zhai, Arun Sai Suggala, Pradeep Ravikumar
Responsible AI (RAI) Games and Ensembles. NeurIPS (2023)
Yash Gupta, Runtian Zhai, Arun Sai Suggala, Pradeep Ravikumar
Responsible AI (RAI) Games and Ensembles. CoRR (2023)
Soumyabrata Pal, Arun Sai Suggala, Karthikeyan Shanmugam, Prateek Jain
Optimal Algorithms for Latent Bandits with Cluster Structure. AISTATS (2023)
Soumyabrata Pal, Arun Sai Suggala, Karthikeyan Shanmugam, Prateek Jain
Optimal Algorithms for Latent Bandits with Cluster Structure. CoRR (2023)
Soumyabrata Pal, Arun Sai Suggala, Karthikeyan Shanmugam, Prateek Jain
Blocked Collaborative Bandits: Online Collaborative Filtering with Per-Item Budget Constraints. CoRR (2023)
Shubhada Agrawal, Sandeep Juneja, Karthikeyan Shanmugam, Arun Sai Suggala
Optimal Best-Arm Identification in Bandits with Access to Offline Data. CoRR (2023)
Xiyang Liu, Prateek Jain, Weihao Kong, Sewoong Oh, Arun Sai Suggala
Label Robust and Differentially Private Linear Regression: Computational and Statistical Efficiency. NeurIPS (2023)
Xiyang Liu, Prateek Jain, Weihao Kong, Sewoong Oh, Arun Sai Suggala
Near Optimal Private and Robust Linear Regression. CoRR (2023)
Anshul Nasery, Hardik Shah, Arun Sai Suggala, Prateek Jain
Regularized Latency Surrogates. CoRR (2023)
Dinghuai Zhang, Hongyang Zhang, Aaron C. Courville, Yoshua Bengio, Pradeep Ravikumar, Arun Sai Suggala
Building Robust Ensembles via Margin Boosting. CoRR (2022)
Dinghuai Zhang, Hongyang Zhang, Aaron C. Courville, Yoshua Bengio, Pradeep Ravikumar, Arun Sai Suggala
Building Robust Ensembles via Margin Boosting. ICML (2022)
Runtian Zhai, Chen Dan, Arun Sai Suggala, J. Zico Kolter, Pradeep Ravikumar
Boosted CVaR Classification. NeurIPS (2021)
Runtian Zhai, Chen Dan, Arun Sai Suggala, J. Zico Kolter, Pradeep Ravikumar
Boosted CVaR Classification. CoRR (2021)
Arun Sai Suggala, Pradeep Ravikumar, Praneeth Netrapalli
Efficient Bandit Convex Optimization: Beyond Linear Losses. COLT (2021)
Arun Sai Suggala, Bingbin Liu, Pradeep Ravikumar
Generalized Boosting. NeurIPS (2020)
Arun Sai Suggala, Praneeth Netrapalli
Follow the Perturbed Leader: Optimism and Fast Parallel Algorithms for Smooth Minimax Games. NeurIPS (2020)
Arun Sai Suggala, Praneeth Netrapalli
Follow the Perturbed Leader: Optimism and Fast Parallel Algorithms for Smooth Minimax Games. CoRR (2020)
Arun Sai Suggala, Praneeth Netrapalli
Online Non-Convex Learning: Following the Perturbed Leader is Optimal. ALT (2020)
Kartik Gupta, Arun Sai Suggala, Adarsh Prasad, Praneeth Netrapalli, Pradeep Ravikumar
Learning Minimax Estimators via Online Learning. CoRR (2020)
Arun Sai Suggala, Kush Bhatia, Pradeep Ravikumar, Prateek Jain
Adaptive Hard Thresholding for Near-optimal Consistent Robust Regression. COLT (2019)
Arun Sai Suggala, Praneeth Netrapalli
Online Non-Convex Learning: Following the Perturbed Leader is Optimal. CoRR (2019)
Arun Sai Suggala, Adarsh Prasad, Vaishnavh Nagarajan, Pradeep Ravikumar
Revisiting Adversarial Risk. AISTATS (2019)
Arun Sai Suggala, Kush Bhatia, Pradeep Ravikumar, Prateek Jain
Adaptive Hard Thresholding for Near-optimal Consistent Robust Regression. CoRR (2019)
Chih-Kuan Yeh, Cheng-Yu Hsieh, Arun Sai Suggala, David I. Inouye, Pradeep Ravikumar
On the (In)fidelity and Sensitivity of Explanations. NeurIPS (2019)
Chih-Kuan Yeh, Cheng-Yu Hsieh, Arun Sai Suggala, David I. Inouye, Pradeep Ravikumar
How Sensitive are Sensitivity-Based Explanations? CoRR (2019)
Arun Sai Suggala, Adarsh Prasad, Vaishnavh Nagarajan, Pradeep Ravikumar
On Adversarial Risk and Training. CoRR (2018)
Adarsh Prasad, Arun Sai Suggala, Sivaraman Balakrishnan, Pradeep Ravikumar
Robust Estimation via Robust Gradient Estimation. CoRR (2018)
Arun Sai Suggala, Adarsh Prasad, Pradeep Ravikumar
Connecting Optimization and Regularization Paths. NeurIPS (2018)
Chirag Gupta, Arun Sai Suggala, Ankit Goyal, Harsha Vardhan Simhadri, Bhargavi Paranjape, Ashish Kumar, Saurabh Goyal, Raghavendra Udupa, Manik Varma, Prateek Jain
ProtoNN: Compressed and Accurate kNN for Resource-scarce Devices. ICML (2017)
Ian En-Hsu Yen, Wei-Cheng Lee, Sung-En Chang, Arun Sai Suggala, Shou-De Lin, Pradeep Ravikumar
Latent Feature Lasso. ICML (2017)
Arun Sai Suggala, Mladen Kolar, Pradeep Ravikumar
The Expxorcist: Nonparametric Graphical Models Via Conditional Exponential Densities. NIPS (2017)
Arun Sai Suggala, Eunho Yang, Pradeep Ravikumar
Ordinal Graphical Models: A Tale of Two Approaches. ICML (2017)
Wesley Tansey, Oscar Hernan Madrid Padilla, Arun Sai Suggala, Pradeep Ravikumar
Vector-Space Markov Random Fields via Exponential Families. ICML (2015)