Siddartha Devic

30 papers A* 7A 2B 3Journal 18
YearRankTypeTitle / Venue / Authors
2026 A* conf
An External Fairness Evaluation of LinkedIn Talent Search.
AAAI
Tina Behzad, Siddartha Devic, Vatsal Sharan, Aleksandra Korolova, David Kempe
2026 J jnl
Are LLM Decisions Faithful to Verbal Confidence?
CoRR
Jiawei Wang, Yanfei Zhou, Siddartha Devic, Deqing Fu
2026 A conf
Auditability and the Landscape of Distance to Multicalibration.
ITCS
Nathan Derhake, Siddartha Devic, Dutch Hansen, Kuan Liu, Vatsal Sharan
2025 J jnl
An Efficient Plugin Method for Metric Optimization of Black-Box Models.
CoRR
Siddartha Devic, Nurendra Choudhary, Anirudh Srinivasan, Sahika Genc, Branislav Kveton, Gaurush Hiranandani
2025 J jnl
An External Fairness Evaluation of LinkedIn Talent Search.
CoRR
Tina Behzad, Siddartha Devic, Vatsal Sharan, Aleksandra Korolova, David Kempe
2025 J jnl
Auditability and the Landscape of Distance to Multicalibration.
CoRR
Nathan Derhake, Siddartha Devic, Dutch Hansen, Kuan Liu, Vatsal Sharan
2025 J jnl
From Calibration to Collaboration: LLM Uncertainty Quantification Should Be More Human-Centered.
CoRR
Siddartha Devic, Tejas Srinivasan, Jesse Thomason, Willie Neiswanger, Vatsal Sharan
2025 B conf
Proper Learnability and the Role of Unlabeled Data.
ALT
Julian Asilis, Siddartha Devic, Shaddin Dughmi, Vatsal Sharan, Shang-Hua Teng
2025 J jnl
Proper Learnability and the Role of Unlabeled Data.
CoRR
Julian Asilis, Siddartha Devic, Shaddin Dughmi, Vatsal Sharan, Shang-Hua Teng
2025 J jnl
Trace Length is a Simple Uncertainty Signal in Reasoning Models.
CoRR
Siddartha Devic, Charlotte Peale, Arwen Bradley, Sinead Williamson, Preetum Nakkiran, Aravind Gollakota
2024 J jnl
Learnability is a Compact Property.
CoRR
Julian Asilis, Siddartha Devic, Shaddin Dughmi, Vatsal Sharan, Shang-Hua Teng
2024 A* conf
Open Problem: Can Local Regularization Learn All Multiclass Problems?
COLT
Julian Asilis, Siddartha Devic, Shaddin Dughmi, Vatsal Sharan, Shang-Hua Teng
2024 A* conf
Regularization and Optimal Multiclass Learning.
COLT
Julian Asilis, Siddartha Devic, Shaddin Dughmi, Vatsal Sharan, Shang-Hua Teng
2024 A* conf
Stability and Multigroup Fairness in Ranking with Uncertain Predictions.
ICML
Siddartha Devic, Aleksandra Korolova, David Kempe, Vatsal Sharan
2024 J jnl
Stability and Multigroup Fairness in Ranking with Uncertain Predictions.
CoRR
Siddartha Devic, Aleksandra Korolova, David Kempe, Vatsal Sharan
2024 A* conf
Transductive Learning is Compact.
NeurIPS
Julian Asilis, Siddartha Devic, Shaddin Dughmi, Vatsal Sharan, Shang-Hua Teng
2024 A* conf
When is Multicalibration Post-Processing Necessary?
NeurIPS
Dutch Hansen, Siddartha Devic, Preetum Nakkiran, Vatsal Sharan
2024 J jnl
When is Multicalibration Post-Processing Necessary?
CoRR
Dutch Hansen, Siddartha Devic, Preetum Nakkiran, Vatsal Sharan
2023 A* conf
Fairness in Matching under Uncertainty.
ICML
Siddartha Devic, David Kempe, Vatsal Sharan, Aleksandra Korolova
2023 J jnl
Fairness in Matching under Uncertainty.
CoRR
Siddartha Devic, David Kempe, Vatsal Sharan, Aleksandra Korolova
2023 J jnl
Regularization and Optimal Multiclass Learning.
CoRR
Julian Asilis, Siddartha Devic, Shaddin Dughmi, Vatsal Sharan, Shang-Hua Teng
2022 J jnl
Dynamic Bandwidth Allocation for PON Slicing with Performance-Guaranteed Online Convex Optimization.
CoRR
Genya Ishigaki, Siddartha Devic, Riti Gour, Jason P. Jue
2022 A conf
Polynomial Time Reinforcement Learning in Factored State MDPs with Linear Value Functions.
AISTATS
Zihao Deng, Siddartha Devic, Brendan Juba
2021 B conf
Dynamic Bandwidth Allocation for PON Slicing with Performance-Guaranteed Online Convex Optimization.
GLOBECOM
Genya Ishigaki, Siddartha Devic, Riti Gour, Jason P. Jue
2021 J jnl
Polynomial Time Reinforcement Learning in Correlated FMDPs with Linear Value Functions.
CoRR
Siddartha Devic, Zihao Deng, Brendan Juba
2020 J jnl
DeepPR: Progressive Recovery for Interdependent VNFs With Deep Reinforcement Learning.
IEEE J. Sel. Areas Commun.
Genya Ishigaki, Siddartha Devic, Riti Gour, Jason P. Jue
2020 J jnl
Failout: Achieving Failure-Resilient Inference in Distributed Neural Networks.
CoRR
Ashkan Yousefpour, Brian Q. Nguyen, Siddartha Devic, Guanhua Wang, Aboudy Kreidieh, Hans Lobel, Alexandre M. Bayen, Jason P. Jue
2019 B conf
DeepPR: Incremental Recovery for Interdependent VNFs with Deep Reinforcement Learning.
GLOBECOM
Genya Ishigaki, Siddartha Devic, Riti Gour, Jason P. Jue
2019 J jnl
DeepPR: Incremental Recovery for Interdependent VNFs with Deep Reinforcement Learning.
CoRR
Genya Ishigaki, Siddartha Devic, Riti Gour, Jason P. Jue
2019 J jnl
Guardians of the Deep Fog: Failure-Resilient DNN Inference from Edge to Cloud.
CoRR
Ashkan Yousefpour, Siddartha Devic, Brian Q. Nguyen, Aboudy Kreidieh, Alan Liao, Alexandre M. Bayen, Jason P. Jue