Subhro Das
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
28
Venues
13
Active years
2013–2025
Best venue rank
A*
Where they publish
Papers
28 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICASSP | Correlated Attention in Transformers for Multivariate Time Series. | Quang Minh Nguyen, Lam M. Nguyen, Subhro Das |
| 2025 | ICASSP | Variance-reduced Clipping for Non-convex Optimization. | Amirhossein Reisizadeh, Haochuan Li, Subhro Das, Ali Jadbabaie |
| 2025 | ICASSP | Dilated Convolution for Time Series Learning. | Wang Zhang, Subhro Das, Lam M. Nguyen, Luca Daniel |
| 2025 | ICML | Symmetry-Driven Discovery of Dynamical Variables in Molecular Simulations. | Jeet Mohapatra, Nima Dehmamy, Csaba Both, Subhro Das, Tommi S. Jaakkola |
| 2025 | ICML | Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search. | Maohao Shen, Guangtao Zeng, Zhenting Qi, Zhang-Wei Hong, Zhenfang Chen, Wei Lu, Gregory W. Wornell, Subhro Das, David Daniel Cox, Chuang Gan |
| 2024 | AAAI | A Model for Estimating the Economic Costs of Computer Vision Systems That Use Deep Learning. | Neil Thompson, Martin Fleming, Benny J. Tang, Anna M. Pastwa, Nicholas Borge, Brian C. Goehring, Subhro Das |
| 2024 | AAAI | One Step Closer to Unbiased Aleatoric Uncertainty Estimation. | Wang Zhang, Ziwen Martin Ma, Subhro Das, Tsui-Wei Lily Weng, Alexandre Megretski, Luca Daniel, Lam M. Nguyen |
| 2024 | ICML | Thermometer: Towards Universal Calibration for Large Language Models. | Maohao Shen, Subhro Das, Kristjan H. Greenewald, Prasanna Sattigeri, Gregory W. Wornell, Soumya Ghosh |
| 2024 | ISIT | Group Fairness with Uncertain Sensitive Attributes. | Abhin Shah, Maohao Shen, Jongha Jon Ryu, Subhro Das, Prasanna Sattigeri, Yuheng Bu, Gregory W. Wornell |
| 2023 | AAAI | Post-hoc Uncertainty Learning Using a Dirichlet Meta-Model. | Maohao Shen, Yuheng Bu, Prasanna Sattigeri, Soumya Ghosh, Subhro Das, Gregory W. Wornell |
| 2023 | AISTATS | Who Should Predict? Exact Algorithms For Learning to Defer to Humans. | Hussein Mozannar, Hunter Lang, Dennis Wei, Prasanna Sattigeri, Subhro Das, David A. Sontag |
| 2023 | EACL | Reliable Gradient-free and Likelihood-free Prompt Tuning. | Maohao Shen, Soumya Ghosh, Prasanna Sattigeri, Subhro Das, Yuheng Bu, Gregory W. Wornell |
| 2023 | ICDM | Attacking c-MARL More Effectively: A Data Driven Approach. | Nhan H. Pham, Lam M. Nguyen, Jie Chen, Hoang Thanh Lam, Subhro Das, Tsui-Wei Weng |
| 2023 | ICLR | Label-free Concept Bottleneck Models. | Tuomas P. Oikarinen, Subhro Das, Lam M. Nguyen, Tsui-Wei Weng |
| 2023 | ICML | ConCerNet: A Contrastive Learning Based Framework for Automated Conservation Law Discovery and Trustworthy Dynamical System Prediction. | Wang Zhang, Tsui-Wei Weng, Subhro Das, Alexandre Megretski, Luca Daniel, Lam M. Nguyen |
| 2022 | AIES | Practical Skills Demand Forecasting via Representation Learning of Temporal Dynamics. | Maysa Malfiza Garcia de Macedo, Wyatt Clarke, Eli Lucherini, Tyler Baldwin, Dilermando Queiroz Neto, Rogrio Abreu de Paula, Subhro Das |
| 2022 | ICML | On Convergence of Gradient Descent Ascent: A Tight Local Analysis. | Haochuan Li, Farzan Farnia, Subhro Das, Ali Jadbabaie |
| 2022 | ICML | Selective Regression under Fairness Criteria. | Abhin Shah, Yuheng Bu, Joshua K. Lee, Subhro Das, Rameswar Panda, Prasanna Sattigeri, Gregory W. Wornell |
| 2022 | ICML | Beyond Worst-Case Analysis in Stochastic Approximation: Moment Estimation Improves Instance Complexity. | Jingzhao Zhang, Hongzhou Lin, Subhro Das, Suvrit Sra, Ali Jadbabaie |
| 2021 | AAAI | Online Optimal Control with Affine Constraints. | Yingying Li, Subhro Das, Na Li |
| 2021 | ESANN | IF: Iterative Fractional Optimization. | Sarthak Chatterjee, Subhro Das, Srgio Pequito |
| 2021 | ICML | Fair Selective Classification Via Sufficiency. | Joshua K. Lee, Yuheng Bu, Deepta Rajan, Prasanna Sattigeri, Rameswar Panda, Subhro Das, Gregory W. Wornell |
| 2020 | AIES | Learning Occupational Task-Shares Dynamics for the Future of Work. | Subhro Das, Sebastian Steffen, Wyatt Clarke, Prabhat Reddy, Erik Brynjolfsson, Martin Fleming |
| 2018 | AMIA | Learning to Personalize from Practice: A Real World Evidence Approach of Care Plan Personalization based on Differential Patient Behavioral Responses in Care Management Records. | Pei-Yun Sabrina Hsueh, Subhro Das, Chandramouli Maduri, Karie Kelly |
| 2017 | AMIA | Interpretable Clustering for Prototypical Patient Understanding: A Case Study of Hypertension and Depression Subgroup Behavioral Profiling in National Health and Nutrition Examination Survey Data. | Pei-Yun Sabrina Hsueh, Subhro Das |
| 2017 | CHASE | A Personalized Pacing System for Real-Time Physical Activity Advising. | Hung-Yang Chang, Zhiguo Li, Subhro Das, Tian Hao, Chandramouli Maduri, Chohreh Partovian, James V. Codella, Ching-Hua Chen |
| 2013 | ACSSC | Distributed Kalman filtering and Network Tracking Capacity. | Subhro Das, Jos M. F. Moura |
| 2013 | ICASSP | Distributed state estimation in multi-agent networks. | Subhro Das, Jos M. F. Moura |