Suggala, Arun Sai

13 publications

AAAI 2025 Offline-to-Online Hyperparameter Transfer for Stochastic Bandits Dravyansh Sharma, Arun Sai Suggala

CVPRW 2024 End-to-End Neural Network Compression via L1/l2 Regularized Latency Surrogates Anshul Nasery, Hardik Shah, Arun Sai Suggala, Prateek Jain

NeurIPS 2024 Near-Optimal Streaming Heavy-Tailed Statistical Estimation with Clipped SGD Aniket Das, Dheeraj Nagaraj, Soumyabrata Pal, Arun Sai Suggala, Prateek Varshney

AAAI 2023 Flexible Budgets in Restless Bandits: A Primal-Dual Algorithm for Efficient Budget Allocation Paula Rodriguez Diaz, Jackson A. Killian, Lily Xu, Arun Sai Suggala, Aparna Taneja, Milind Tambe

ICML 2022 Building Robust Ensembles via Margin Boosting Dinghuai Zhang, Hongyang Zhang, Aaron Courville, Yoshua Bengio, Pradeep Ravikumar, Arun Sai Suggala

COLT 2021 Efficient Bandit Convex Optimization: Beyond Linear Losses Arun Sai Suggala, Pradeep Ravikumar, Praneeth Netrapalli

ALT 2020 Online Non-Convex Learning: Following the Perturbed Leader Is Optimal Arun Sai Suggala, Praneeth Netrapalli

COLT 2019 Adaptive Hard Thresholding for Near-Optimal Consistent Robust Regression Arun Sai Suggala, Kush Bhatia, Pradeep Ravikumar, Prateek Jain

AISTATS 2019 Revisiting Adversarial Risk Arun Sai Suggala, Adarsh Prasad, Vaishnavh Nagarajan, Pradeep Ravikumar

ICML 2017 Latent Feature Lasso Ian En-Hsu Yen, Wei-Cheng Lee, Sung-En Chang, Arun Sai Suggala, Shou-De Lin, Pradeep Ravikumar

ICML 2017 Ordinal Graphical Models: A Tale of Two Approaches Arun Sai Suggala, Eunho Yang, Pradeep Ravikumar

ICML 2017 ProtoNN: Compressed and Accurate kNN for Resource-Scarce Devices Chirag Gupta, Arun Sai Suggala, Ankit Goyal, Harsha Vardhan Simhadri, Bhargavi Paranjape, Ashish Kumar, Saurabh Goyal, Raghavendra Udupa, Manik Varma, Prateek Jain

ICML 2015 Vector-Space Markov Random Fields via Exponential Families Wesley Tansey, Oscar Hernan Madrid Padilla, Arun Sai Suggala, Pradeep Ravikumar