A. Suggala

Most-cited papers

On the (In)fidelity and Sensitivity for Explanations.
Chih-Kuan Yeh, Cheng-Yu Hsieh, A. Suggala, David I. Inouye +1 more
2019649 citations
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Robust estimation via robust gradient estimation
Adarsh Prasad, A. Suggala, Sivaraman Balakrishnan, P. Ravikumar
2018Journal of The Royal Statistical Society Series B-statistical Methodology242 citations Open access
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ProtoNN: Compressed and Accurate kNN for Resource-scarce Devices
Chirag Gupta, A. Suggala, Ankit Goyal, H. Simhadri +6 more
2017International Conference on Machine Learning179 citations
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Online Non-Convex Learning: Following the Perturbed Leader is Optimal
A. Suggala, Praneeth Netrapalli
2019International Conference on Algorithmic Learning Theory75 citations
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Connecting Optimization and Regularization Paths
A. Suggala, Adarsh Prasad, P. Ravikumar
2018Neural Information Processing Systems58 citations
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Adaptive Hard Thresholding for Near-optimal Consistent Robust Regression
A. Suggala, K. Bhatia, P. Ravikumar, Prateek Jain
2019Annual Conference Computational Learning Theory54 citations
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Advancing Mathematics Research with AI-Driven Formal Proof Search
G. Tsoukalas, Anton Kovsharov, S. Shirobokov, Anja Surina +17 more
2026Science34 citations
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How Sensitive are Sensitivity-Based Explanations?
Chih-Kuan Yeh, Cheng-Yu Hsieh, A. Suggala, David I. Inouye +1 more
2019arXiv.org23 citations
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Building Robust Ensembles via Margin Boosting
Dinghuai Zhang, Hongyang Zhang, Aaron C. Courville, Yoshua Bengio +2 more
2022International Conference on Machine Learning22 citations Open access
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Follow the Perturbed Leader: Optimism and Fast Parallel Algorithms for Smooth Minimax Games
A. Suggala, Praneeth Netrapalli
2020Neural Information Processing Systems22 citations
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Vector-Space Markov Random Fields via Exponential Families
Wesley Tansey, Oscar Hernan Madrid Padilla, A. Suggala, P. Ravikumar
2015International Conference on Machine Learning22 citations
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Revisiting Adversarial Risk
A. Suggala, Adarsh Prasad, Vaishnavh Nagarajan, P. Ravikumar
2018International Conference on Artificial Intelligence and Statistics21 citations
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Boosted CVaR Classification
Runtian Zhai, Chen Dan, A. Suggala, J. Kolter +1 more
2021Neural Information Processing Systems18 citations
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The Expxorcist: Nonparametric Graphical Models Via Conditional Exponential Densities
A. Suggala, M. Kolar, P. Ravikumar
2017Neural Information Processing Systems18 citations
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Ordinal Graphical Models: A Tale of Two Approaches
A. Suggala, Eunho Yang, P. Ravikumar
2017International Conference on Machine Learning18 citations
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Optimal Algorithms for Latent Bandits with Cluster Structure
S. Pal, A. Suggala, Karthikeyan Shanmugam, Prateek Jain
2023International Conference on Artificial Intelligence and Statistics14 citations Open access
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Improving Generalization via Meta-Learning on Hard Samples
Nishant Jain, A. Suggala, Pradeep Shenoy
2024Computer Vision and Pattern Recognition12 citations Open access
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Near Optimal Private and Robust Linear Regression
Xiyang Liu, Prateek Jain, Weihao Kong, Sewoong Oh +1 more
2023arXiv.org12 citations Open access
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Generalized Boosting
A. Suggala, Bingbin Liu, P. Ravikumar
2020Neural Information Processing Systems12 citations
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Offline-to-online hyperparameter transfer for stochastic bandits
Dravyansh Sharma, A. Suggala
2025AAAI Conference on Artificial Intelligence10 citations
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Label Robust and Differentially Private Linear Regression: Computational and Statistical Efficiency
Xiyang Liu, Prateek Jain, Weihao Kong, Sewoong Oh +1 more
2023Neural Information Processing Systems10 citations
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Efficient Bandit Convex Optimization: Beyond Linear Losses
A. Suggala, P. Ravikumar, Praneeth Netrapalli
2021Annual Conference Computational Learning Theory10 citations
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Optimal Best-Arm Identification in Bandits with Access to Offline Data
Shubhada Agrawal, S. Juneja, Karthikeyan Shanmugam, A. Suggala
2023arXiv.org9 citations Open access
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On Adversarial Risk and Training
A. Suggala, Adarsh Prasad, Vaishnavh Nagarajan, P. Ravikumar
2018arXiv.org9 citations
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Latent Feature Lasso
I. E. Yen, Wei-Cheng Lee, Sung-En Chang, A. Suggala +2 more
2017International Conference on Machine Learning9 citations
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Stochastic Re-weighted Gradient Descent via Distributionally Robust Optimization
Ramnath Kumar, Kushal Majmundar, D. Nagaraj, A. Suggala
2023Trans. Mach. Learn. Res.8 citations Open access
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An Improved Last-Iterate Convergence Rate for Anchored Gradient Descent Ascent
Anja Surina, A. Suggala, G. Tsoukalas, Anton Kovsharov +4 more
2026arXiv.org7 citations
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CDQuant: Greedy Coordinate Descent for Accurate LLM Quantization
Pranav Ajit Nair, A. Suggala
20247 citations
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Improving Mobile Maternal and Child Health Care Programs: Collaborative Bandits for Time Slot Selection
Soumyabrata Pal, Milind Tambe, A. Suggala, Karthikeyan Shanmugam +1 more
2024Adaptive Agents and Multi-Agent Systems6 citations
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Second Order Methods for Bandit Optimization and Control
A. Suggala, Y. J. Sun, Praneeth Netrapalli, Elad Hazan
2024Annual Conference Computational Learning Theory5 citations
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CDQuant: Accurate Post-training Weight Quantization of Large Pre-trained Models using Greedy Coordinate Descent
Pranav Ajit Nair, A. Suggala
2024arXiv.org5 citations
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Blocked Collaborative Bandits: Online Collaborative Filtering with Per-Item Budget Constraints
S. Pal, A. Suggala, Karthikeyan Shanmugam, Prateek Jain
2023Neural Information Processing Systems3 citations
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Learning Minimax Estimators via Online Learning
Kartik Gupta, A. Suggala, Adarsh Prasad, Praneeth Netrapalli +1 more
2020arXiv.org3 citations
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Responsible AI (RAI) Games and Ensembles
Yash Gupta, Runtian Zhai, A. Suggala, Pradeep Ravikumar
2023Neural Information Processing Systems1 citations
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End-to-End Neural Network Compression via 𝓁1/𝓁2 Regularized Latency Surrogates
Anshul Nasery, Hardik Shah, A. Suggala, Prateek Jain
2023arXiv.org1 citations Open access
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Resource-efficient machine learning
Prateek Jain, Chirag Gupta, A. Suggala, Ankit Goyal +1 more
20171 citations
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End-to-End Neural Network Compression via l1/l2 Regularized Latency Surrogates
Anshul Nasery, Hardik Shah, A. Suggala, Prateek Jain
20242024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)0 citations
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Statistical Game Theory
A. Suggala
20220 citations
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Research Statement: Statistical Game Theory
A. Suggala
20200 citations
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M L ] 2 0 N ov 2 01 8 Revisiting Adversarial Risk
A. Suggala, Adarsh Prasad, Vaishnavh Nagarajan, P. Ravikumar
20180 citations
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Ordinal Data Analysis via Graphical Models Ordinal Data Analysis via Graphical Models
A. Suggala, Sunday
20170 citations
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Multivariate Time Series Forecasting
A. Suggala, Prateek Jain, Praneeth Nethrapalli
0 citations
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