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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
Label-free Concept Bottleneck Models
T Oikarinen, S Das, LM Nguyen, TW Weng
International Conference on Learning Representations, 2023
1612023
Distributed Kalman Filtering with Dynamic Observations Consensus
S Das, JMF Moura
IEEE Transactions on Signal Processing 63 (17), 4458 - 4473, 2015
1602015
Consensus+Innovations Distributed Kalman Filter with Optimized Gains
S Das, JMF Moura
IEEE Transactions on Signal Processing 65 (2), 467 - 481, 2017
1552017
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
592021
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
482023
Online optimal control with affine constraints
Y Li, S Das, N Li
Proceedings of the AAAI Conference on Artificial Intelligence 35 (10), pp …, 2020
452020
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
362020
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
35*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
34*2021
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
34*2020
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
292022
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
28*2019
Distributed state estimation in multi-agent networks
S Das, JMF Moura
ICASSP: 38th International Conference on Acoustics, Speech, and Signal …, 2013
282013
Post-hoc uncertainty learning using a dirichlet meta-model
M Shen, Y Bu, P Sattigeri, S Ghosh, S Das, G Wornell
Proceedings of the AAAI Conference on Artificial Intelligence 37 (8), 9772-9781, 2023
252023
Variance-reduced clipping for non-convex optimization
A Reisizadeh, H Li, S Das, A Jadbabaie
arXiv preprint arXiv:2303.00883, 2023
252023
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
23*2018
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
20*2021
Input data correction
HY Chang, JV Codella, S Das
US Patent 10,585,739, 2020
182020
Effective human-AI teams via learned natural language rules and onboarding
H Mozannar, J Lee, D Wei, P Sattigeri, S Das, D Sontag
Advances in Neural Information Processing Systems 36, 2023
152023
Model adaption and online learning for unstable environments
S Das, P Lade, S Srinivasan, R Ghosh
US Patent App. 15/346,707, 2017
14*2017
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