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Arun Sai Suggala
Arun Sai Suggala
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Title
Cited by
Cited by
Year
On the (in) fidelity and sensitivity of explanations
CK Yeh, CY Hsieh, A Suggala, DI Inouye, PK Ravikumar
Advances in neural information processing systems 32, 2019
4152019
Robust estimation via robust gradient estimation
A Prasad, AS Suggala, S Balakrishnan, P Ravikumar
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2020
2392020
Protonn: Compressed and accurate knn for resource-scarce devices
C Gupta, AS Suggala, A Goyal, HV Simhadri, B Paranjape, A Kumar, ...
International conference on machine learning, 1331-1340, 2017
1952017
Revisiting adversarial risk
AS Suggala, A Prasad, V Nagarajan, P Ravikumar
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
59*2019
Connecting optimization and regularization paths
A Suggala, A Prasad, PK Ravikumar
Advances in Neural Information Processing Systems 31, 2018
572018
Online non-convex learning: Following the perturbed leader is optimal
AS Suggala, P Netrapalli
Algorithmic Learning Theory, 845-861, 2020
542020
Adaptive hard thresholding for near-optimal consistent robust regression
AS Suggala, K Bhatia, P Ravikumar, P Jain
Conference on Learning Theory, 2892-2897, 2019
462019
Vector-space Markov random fields via exponential families
W Tansey, OHM Padilla, AS Suggala, P Ravikumar
International Conference on Machine Learning, 684-692, 2015
262015
Boosted cvar classification
R Zhai, C Dan, A Suggala, JZ Kolter, P Ravikumar
Advances in Neural Information Processing Systems 34, 21860-21871, 2021
192021
The expxorcist: Nonparametric graphical models via conditional exponential densities
A Suggala, M Kolar, PK Ravikumar
Advances in neural information processing systems 30, 2017
192017
Building robust ensembles via margin boosting
D Zhang, H Zhang, A Courville, Y Bengio, P Ravikumar, AS Suggala
International Conference on Machine Learning, 26669-26692, 2022
152022
Follow the perturbed leader: Optimism and fast parallel algorithms for smooth minimax games
A Suggala, P Netrapalli
Advances in Neural Information Processing Systems 33, 22316-22326, 2020
152020
Ordinal graphical models: A tale of two approaches
AS Suggala, E Yang, P Ravikumar
International conference on machine learning, 3260-3269, 2017
132017
Latent feature lasso
IEH Yen, WC Lee, SE Chang, AS Suggala, SD Lin, P Ravikumar
International Conference on Machine Learning, 3949-3957, 2017
102017
Stochastic re-weighted gradient descent via distributionally robust optimization
R Kumar, K Majmundar, D Nagaraj, AS Suggala
arXiv preprint arXiv:2306.09222, 2023
8*2023
Generalized boosting
A Suggala, B Liu, P Ravikumar
Advances in neural information processing systems 33, 8787-8797, 2020
82020
Resource-efficient machine learning
P Jain, C Gupta, AS Suggala, A Goyal, H Simhadri
US Patent App. 15/623,661, 2018
82018
Efficient bandit convex optimization: Beyond linear losses
AS Suggala, P Ravikumar, P Netrapalli
Conference on Learning Theory, 4008-4067, 2021
72021
Be greedy–a simple algorithm for blackbox optimization using neural networks
B Paria, B Pòczos, P Ravikumar, J Schneider, AS Suggala
ICML2022 Workshop on Adaptive Experimental Design and Active Learning in the …, 2022
52022
Label Robust and Differentially Private Linear Regression: Computational and Statistical Efficiency
X Liu, P Jain, W Kong, S Oh, A Suggala
Advances in Neural Information Processing Systems 36, 2024
4*2024
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