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Subhro Das
Subhro Das
MIT-IBM Watson AI Lab, IBM Research
Verified email at ibm.com - Homepage
Title
Cited by
Cited by
Year
Identification and filtering of uncharacteristic noise in the CMS hadron calorimeter
CMS collaboration
Journal of Instrumentation 5 (03), T03014, 2010
2522010
Distributed Kalman Filtering with Dynamic Observations Consensus
S Das, JMF Moura
IEEE Transactions on Signal Processing 63 (17), 4458 - 4473, 2015
1512015
Consensus+Innovations Distributed Kalman Filter with Optimized Gains
S Das, JMF Moura
IEEE Transactions on Signal Processing 65 (2), 467 - 481, 2017
1332017
Label-free Concept Bottleneck Models
T Oikarinen, S Das, LM Nguyen, TW Weng
International Conference on Learning Representations, 2023
532023
Verifiably safe exploration for end-to-end reinforcement learning
N Hunt, N Fulton, S Magliacane, TN Hoang, S Das, A Solar-Lezama
Proceedings of the 24th International Conference on Hybrid Systems …, 2021
442021
Online optimal control with affine constraints
Y Li, S Das, N Li
Proceedings of the AAAI Conference on Artificial Intelligence 35 (10), pp …, 2020
342020
Learning occupational task-shares dynamics for the future of work
S Das, S Steffen, W Clarke, P Reddy, E Brynjolfsson, M Fleming
Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 36-42, 2020
282020
Distributed state estimation in multi-agent networks
S Das, JMF Moura
ICASSP: 38th International Conference on Acoustics, Speech, and Signal …, 2013
272013
Interpretable Subgroup Discovery in Treatment Effect Estimation with Application to Opioid Prescribing Guidelines
C Nagpal, D Wei, B Vinzamuri, M Shekhar, SE Berger, S Das, ...
Proceedings of the ACM Conference on Health, Inference, and Learning, 2020
25*2020
Fair selective classification via sufficiency
JK Lee, Y Bu, D Rajan, P Sattigeri, R Panda, S Das, GW Wornell
International conference on machine learning, 6076-6086, 2021
23*2021
Safe adaptive learning-based control for constrained linear quadratic regulators with regret guarantees
Y Li, S Das, J Shamma, N Li
arXiv preprint arXiv:2111.00411, 2021
222021
The Future of Work: How New Technologies Are Transforming Tasks
M Fleming, W Clarke, S Das, P Phongthiengtham, P Reddy
MIT-IBM Watson AI Lab, 2019
21*2019
An Adaptive, Data-Driven Personalized Advisor for Increasing Physical Activity
Z Li, S Das, J Codella, T Hao, K Lin, C Maduri, CH Chen
IEEE Journal of Biomedical and Health Informatics, 2018
18*2018
Who should predict? exact algorithms for learning to defer to humans
H Mozannar, H Lang, D Wei, P Sattigeri, S Das, D Sontag
International conference on artificial intelligence and statistics, 10520-10545, 2023
17*2023
A stochastic proximal gradient framework for decentralized non-convex composite optimization: Topology-independent sample complexity and communication efficiency
R Xin, S Das, UA Khan, S Kar
arXiv preprint arXiv:2110.01594, 2021
17*2021
Selective regression under fairness criteria
A Shah, Y Bu, JK Lee, S Das, R Panda, P Sattigeri, GW Wornell
International Conference on Machine Learning, 19598-19615, 2022
16*2022
Variance-reduced clipping for non-convex optimization
A Reisizadeh, H Li, S Das, A Jadbabaie
arXiv preprint arXiv:2303.00883, 2023
142023
Input data correction
HY Chang, JV Codella, S Das
US Patent 10,585,739, 2020
132020
Model adaption and online learning for unstable environments
S Das, P Lade, S Srinivasan, R Ghosh
US Patent App. 15/346,707, 2017
12*2017
Distributed linear estimation of dynamic random fields
S Das, JMF Moura
51st Annual Allerton Conference on Communication, Control, and Computing …, 2013
122013
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Articles 1–20