Subhro Das

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 66

Top Topics

Demand Forecasting

Linear Filtering

Reinforcement Learning

Top Venues

Publications

Jongha Jon Ryu, Maohao Shen, Soumya Ghosh, Yuheng Bu, Prasanna Sattigeri, Subhro Das, Gregory W. Wornell
Improved Evidential Deep Learning via a Mixture of Dirichlet Distributions. CoRR (2024)
Augustin-Alexandru Saucan, Subhro Das, Moe Z. Win
Decentralized fused-learner architectures for Bayesian reinforcement learning. Artif. Intell. 331 (2024)
Wang Zhang, Ziwen Martin Ma, Subhro Das, Tsui-Wei Lily Weng, Alexandre Megretski, Luca Daniel, Lam M. Nguyen
One Step Closer to Unbiased Aleatoric Uncertainty Estimation. AAAI (2024)
Maohao Shen, Subhro Das, Kristjan H. Greenewald, Prasanna Sattigeri, Gregory W. Wornell, Soumya Ghosh
Thermometer: Towards Universal Calibration for Large Language Models. CoRR (2024)
Hussein Mozannar, Valerie Chen, Mohammed Alsobay, Subhro Das, Sebastian Zhao, Dennis Wei, Manish Nagireddy, Prasanna Sattigeri, Ameet Talwalkar, David A. Sontag
The RealHumanEval: Evaluating Large Language Models' Abilities to Support Programmers. CoRR (2024)
Neil Thompson, Martin Fleming, Benny J. Tang, Anna M. Pastwa, Nicholas Borge, Brian C. Goehring, Subhro Das
A Model for Estimating the Economic Costs of Computer Vision Systems That Use Deep Learning. AAAI (2024)
Quang Minh Nguyen, Lam M. Nguyen, Subhro Das
Correlated Attention in Transformers for Multivariate Time Series. CoRR (2023)
Nhan H. Pham, Lam M. Nguyen, Jie Chen, Hoang Thanh Lam, Subhro Das, Tsui-Wei Weng
Attacking c-MARL More Effectively: A Data Driven Approach. ICDM (2023)
Wang Zhang, Tsui-Wei Weng, Subhro Das, Alexandre Megretski, Luca Daniel, Lam M. Nguyen
ConCerNet: A Contrastive Learning Based Framework for Automated Conservation Law Discovery and Trustworthy Dynamical System Prediction. CoRR (2023)
Abhin Shah, Maohao Shen, Jongha Jon Ryu, Subhro Das, Prasanna Sattigeri, Yuheng Bu, Gregory W. Wornell
Group Fairness with Uncertainty in Sensitive Attributes. CoRR (2023)
Maohao Shen, Soumya Ghosh, Prasanna Sattigeri, Subhro Das, Yuheng Bu, Gregory W. Wornell
Reliable Gradient-free and Likelihood-free Prompt Tuning. CoRR (2023)
Wang Zhang, Tsui-Wei Weng, Subhro Das, Alexandre Megretski, Luca Daniel, Lam M. Nguyen
ConCerNet: A Contrastive Learning Based Framework for Automated Conservation Law Discovery and Trustworthy Dynamical System Prediction. ICML (2023)
Yingying Li, Tianpeng Zhang, Subhro Das, Jeff S. Shamma, Na Li
Non-asymptotic System Identification for Linear Systems with Nonlinear Policies. CoRR (2023)
Tuomas P. Oikarinen, Subhro Das, Lam M. Nguyen, Tsui-Wei Weng
Label-Free Concept Bottleneck Models. CoRR (2023)
Hussein Mozannar, Jimin J. Lee, Dennis Wei, Prasanna Sattigeri, Subhro Das, David A. Sontag
Effective Human-AI Teams via Learned Natural Language Rules and Onboarding. NeurIPS (2023)
Farzan Farnia, William W. Wang, Subhro Das, Ali Jadbabaie
GAT-GMM: Generative Adversarial Training for Gaussian Mixture Models. SIAM J. Math. Data Sci. 5 (1) (2023)
Tuomas P. Oikarinen, Subhro Das, Lam M. Nguyen, Tsui-Wei Weng
Label-free Concept Bottleneck Models. ICLR (2023)
Wang Zhang, Ziwen Ma, Subhro Das, Tsui-Wei Weng, Alexandre Megretski, Luca Daniel, Lam M. Nguyen
One step closer to unbiased aleatoric uncertainty estimation. CoRR (2023)
Amirhossein Reisizadeh, Haochuan Li, Subhro Das, Ali Jadbabaie
Variance-reduced Clipping for Non-convex Optimization. CoRR (2023)
Maohao Shen, Yuheng Bu, Prasanna Sattigeri, Soumya Ghosh, Subhro Das, Gregory W. Wornell
Post-hoc Uncertainty Learning Using a Dirichlet Meta-Model. AAAI (2023)
Maohao Shen, Soumya Ghosh, Prasanna Sattigeri, Subhro Das, Yuheng Bu, Gregory W. Wornell
Reliable Gradient-free and Likelihood-free Prompt Tuning. EACL (Findings) (2023)
Hussein Mozannar, Hunter Lang, Dennis Wei, Prasanna Sattigeri, Subhro Das, David A. Sontag
Who Should Predict? Exact Algorithms For Learning to Defer to Humans. CoRR (2023)
Hussein Mozannar, Hunter Lang, Dennis Wei, Prasanna Sattigeri, Subhro Das, David A. Sontag
Who Should Predict? Exact Algorithms For Learning to Defer to Humans. AISTATS (2023)
Hussein Mozannar, Jimin J. Lee, Dennis Wei, Prasanna Sattigeri, Subhro Das, David A. Sontag
Effective Human-AI Teams via Learned Natural Language Rules and Onboarding. CoRR (2023)
Haochuan Li, Farzan Farnia, Subhro Das, Ali Jadbabaie
On Convergence of Gradient Descent Ascent: A Tight Local Analysis. ICML (2022)
Subhro Das
On observability and optimal gain design for distributed linear filtering and prediction. EUSIPCO (2022)
Tyler Baldwin, Wyatt Clarke, Maysa M. Garcia de Macedo, Rogério de Paula, Subhro Das
Better Skill-based Job Representations, Assessed via Job Transition Data. Big Data (2022)
Abhin Shah, Yuheng Bu, Joshua K. Lee, Subhro Das, Rameswar Panda, Prasanna Sattigeri, Gregory W. Wornell
Selective Regression under Fairness Criteria. ICML (2022)
Jingzhao Zhang, Hongzhou Lin, Subhro Das, Suvrit Sra, Ali Jadbabaie
Beyond Worst-Case Analysis in Stochastic Approximation: Moment Estimation Improves Instance Complexity. ICML (2022)
Subhro Das
An Alternative Approach for Distributed Parameter Estimation Under Gaussian Settings. MLSP (2022)
Saksham Gandhi, Raj Nagesh, Subhro Das
Learning skills adjacency representations for optimized reskilling recommendations. Big Data (2022)
Subhro Das
On observability and optimal gain design for distributed linear filtering and prediction. CoRR (2022)
Maohao Shen, Yuheng Bu, Prasanna Sattigeri, Soumya Ghosh, Subhro Das, Gregory W. Wornell
Post-hoc Uncertainty Learning using a Dirichlet Meta-Model. CoRR (2022)
Maysa Malfiza Garcia de Macedo, Wyatt Clarke, Eli Lucherini, Tyler Baldwin, Dilermando Queiroz Neto, Rogério Abreu de Paula, Subhro Das
Practical Skills Demand Forecasting via Representation Learning of Temporal Dynamics. AIES (2022)
Haochuan Li, Farzan Farnia, Subhro Das, Ali Jadbabaie
On Convergence of Gradient Descent Ascent: A Tight Local Analysis. CoRR (2022)
Subhro Das
An alternative approach for distributed parameter estimation under Gaussian settings. CoRR (2022)
Nhan H. Pham, Lam M. Nguyen, Jie Chen, Hoang Thanh Lam, Subhro Das, Tsui-Wei Weng
Evaluating Robustness of Cooperative MARL: A Model-based Approach. CoRR (2022)
Maysa M. Garcia de Macedo, Wyatt Clarke, Eli Lucherini, Tyler Baldwin, Dilermando Queiroz Neto, Rogério de Paula, Subhro Das
Practical Skills Demand Forecasting via Representation Learning of Temporal Dynamics. CoRR (2022)
Abhin Shah, Yuheng Bu, Joshua Ka-Wing Lee, Subhro Das, Rameswar Panda, Prasanna Sattigeri, Gregory W. Wornell
Selective Regression Under Fairness Criteria. CoRR (2021)
Sarthak Chatterjee, Subhro Das, Sérgio Pequito
IF: Iterative Fractional Optimization. ESANN (2021)
Nathan Hunt, Nathan Fulton, Sara Magliacane, Trong Nghia Hoang, Subhro Das, Armando Solar-Lezama
Verifiably safe exploration for end-to-end reinforcement learning. HSCC (2021)
Yingying Li, Subhro Das, Na Li
Online Optimal Control with Affine Constraints. AAAI (2021)
Joshua K. Lee, Yuheng Bu, Deepta Rajan, Prasanna Sattigeri, Rameswar Panda, Subhro Das, Gregory W. Wornell
Fair Selective Classification Via Sufficiency. ICML (2021)
Yingying Li, Subhro Das, Jeff S. Shamma, Na Li
Safe Adaptive Learning-based Control for Constrained Linear Quadratic Regulators with Regret Guarantees. CoRR (2021)
Augustin-Alexandru Saucan, Subhro Das, Moe Z. Win
On Multisensor Activation Policies for Bernoulli Tracking. MILCOM (2021)
Farzan Farnia, William Wang, Subhro Das, Ali Jadbabaie
GAT-GMM: Generative Adversarial Training for Gaussian Mixture Models. CoRR (2020)
Subhro Das, Prasanth Lade, Soundar Srinivasan
Model adaptation and unsupervised learning with non-stationary batch data under smooth concept drift. CoRR (2020)
Chirag Nagpal, Dennis Wei, Bhanukiran Vinzamuri, Monica Shekhar, Sara E. Berger, Subhro Das, Kush R. Varshney
Interpretable subgroup discovery in treatment effect estimation with application to opioid prescribing guidelines. CHIL (2020)
Subhro Das, Chandramouli Maduri, Ching-Hua Chen, Pei-Yun Sabrina Hsueh
Learning Interpretable Behavioral Engagement for Care Management. MIE (2020)
Subhro Das, Sebastian Steffen, Wyatt Clarke, Prabhat Reddy, Erik Brynjolfsson, Martin Fleming
Learning Occupational Task-Shares Dynamics for the Future of Work. CoRR (2020)
Nathan Fulton, Nathan Hunt, Nghia Hoang, Subhro Das
Formal Verification of End-to-End Learning in Cyber-Physical Systems: Progress and Challenges. CoRR (2020)
Subhro Das, Sebastian Steffen, Wyatt Clarke, Prabhat Reddy, Erik Brynjolfsson, Martin Fleming
Learning Occupational Task-Shares Dynamics for the Future of Work. AIES (2020)
Nathan Hunt, Nathan Fulton, Sara Magliacane, Nghia Hoang, Subhro Das, Armando Solar-Lezama
Verifiably Safe Exploration for End-to-End Reinforcement Learning. CoRR (2020)
Jingzhao Zhang, Hongzhou Lin, Subhro Das, Suvrit Sra, Ali Jadbabaie
Stochastic Optimization with Non-stationary Noise. CoRR (2020)
Orlando Romero, Subhro Das, Pin-Yu Chen, Sérgio Pequito
A Dynamical Systems Approach for Convergence of the Bayesian EM Algorithm. CoRR (2020)
Yingying Li, Subhro Das, Na Li
Online Optimal Control with Affine Constraints. CoRR (2020)
Subhro Das, Chandramouli Maduri, Ching-Hua Chen, Pei-Yun Sabrina Hsueh
Learning Patient Engagement in Care Management: Performance vs. Interpretability. CoRR (2019)
Zhiguo Li, Subhro Das, James V. Codella, Tian Hao, Kun Lin, Chandramouli Maduri, Ching-Hua Chen
An Adaptive, Data-Driven Personalized Advisor for Increasing Physical Activity. IEEE J. Biomed. Health Informatics 23 (3) (2019)
Chirag Nagpal, Dennis Wei, Bhanukiran Vinzamuri, Monica Shekhar, Sara E. Berger, Subhro Das, Kush R. Varshney
Interpretable Subgroup Discovery in Treatment Effect Estimation with Application to Opioid Prescribing Guidelines. CoRR (2019)
Pei-Yun Sabrina Hsueh, Subhro Das, Chandramouli Maduri, Karie Kelly
Learning to Personalize from Practice: A Real World Evidence Approach of Care Plan Personalization based on Differential Patient Behavioral Responses in Care Management Records. AMIA (2018)
Subhro Das, José M. F. Moura
Distributed Estimation of Dynamic Fields over Multi-agent Networks. CoRR (2017)
Hung-Yang Chang, Zhiguo Li, Subhro Das, Tian Hao, Chandramouli Maduri, Chohreh Partovian, James V. Codella, Ching-Hua Chen
A Personalized Pacing System for Real-Time Physical Activity Advising. CHASE (2017)
Pei-Yun Sabrina Hsueh, Subhro Das
Interpretable Clustering for Prototypical Patient Understanding: A Case Study of Hypertension and Depression Subgroup Behavioral Profiling in National Health and Nutrition Examination Survey Data. AMIA (2017)
Pei-Yun Sabrina Hsueh, Sanjoy Dey, Subhro Das, Thomas Wetter
Making Sense of Patient-Generated Health Data for Interpretable Patient-Centered Care: The Transition from "More" to "Better". MedInfo (2017)
Subhro Das, José M. F. Moura
Consensus+Innovations Distributed Kalman Filter With Optimized Gains. IEEE Trans. Signal Process. 65 (2) (2017)
Subhro Das, José M. F. Moura
Consensus+Innovations Distributed Kalman Filter with Optimized Gains. CoRR (2016)
Subhro Das, José M. F. Moura
Distributed Kalman Filtering With Dynamic Observations Consensus. IEEE Trans. Signal Process. 63 (17) (2015)
Subhro Das, José M. F. Moura
Distributed state estimation in multi-agent networks. ICASSP (2013)
Subhro Das, José M. F. Moura
Distributed Kalman filtering and Network Tracking Capacity. ACSSC (2013)
Subhro Das, José M. F. Moura
Distributed linear estimation of dynamic random fields. Allerton (2013)
Subhro Das, José M. F. Moura
Distributed Kalman filtering. EUSIPCO (2013)