Seguir
Subhro Das
Subhro Das
MIT-IBM Watson AI Lab, IBM Research
Dirección de correo verificada de ibm.com - Página principal
Título
Citado por
Citado por
Año
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
572023
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
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
19*2023
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
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
17*2022
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
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
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20