DeepPR: Incremental Recovery for Interdependent VNFs with Deep Reinforcement Learning. - Genya Ishigaki; Siddartha Devic; Riti Gour; Jason P. Jue (GLOBECOM, 2019)

Guardians of the Deep Fog: Failure-Resilient DNN Inference from Edge to Cloud. - Ashkan Yousefpour; Siddartha Devic; Brian Q. Nguyen; Aboudy Kreidieh; Alan Liao; Alexandre M. Bayen; Jason P. Jue (CoRR, 2019)

Failout: Achieving Failure-Resilient Inference in Distributed Neural Networks. - Ashkan Yousefpour; Brian Q. Nguyen; Siddartha Devic; Guanhua Wang; Aboudy Kreidieh; Hans Lobel; Alexandre M. Bayen; Jason P. Jue (CoRR, 2020)

DeepPR: Progressive Recovery for Interdependent VNFs With Deep Reinforcement Learning. - Genya Ishigaki; Siddartha Devic; Riti Gour; Jason P. Jue (IEEE J. Sel. Areas Commun., 2020)

Dynamic Bandwidth Allocation for PON Slicing with Performance-Guaranteed Online Convex Optimization. - Genya Ishigaki; Siddartha Devic; Riti Gour; Jason P. Jue (GLOBECOM, 2021)

Polynomial Time Reinforcement Learning in Correlated FMDPs with Linear Value Functions. - Siddartha Devic; Zihao Deng; Brendan Juba (CoRR, 2021)

Polynomial Time Reinforcement Learning in Factored State MDPs with Linear Value Functions. - Zihao Deng; Siddartha Devic; Brendan Juba (AISTATS, 2022)

Fairness in Matching under Uncertainty. - Siddartha Devic; David Kempe 001; Vatsal Sharan; Aleksandra Korolova (ICML, 2023)

Regularization and Optimal Multiclass Learning. - Julian Asilis; Siddartha Devic; Shaddin Dughmi; Vatsal Sharan; Shang-Hua Teng (COLT, 2024)

Open Problem: Can Local Regularization Learn All Multiclass Problems? - Julian Asilis; Siddartha Devic; Shaddin Dughmi; Vatsal Sharan; Shang-Hua Teng (COLT, 2024)

Stability and Multigroup Fairness in Ranking with Uncertain Predictions. - Siddartha Devic; Aleksandra Korolova; David Kempe 001; Vatsal Sharan (ICML, 2024)

Transductive Learning is Compact. - Julian Asilis; Siddartha Devic; Shaddin Dughmi; Vatsal Sharan; Shang-Hua Teng (NeurIPS, 2024)

When is Multicalibration Post-Processing Necessary? - Dutch Hansen; Siddartha Devic; Preetum Nakkiran; Vatsal Sharan (NeurIPS, 2024)

Learnability is a Compact Property. - Julian Asilis; Siddartha Devic; Shaddin Dughmi; Vatsal Sharan; Shang-Hua Teng (CoRR, 2024)

Proper Learnability and the Role of Unlabeled Data. - Julian Asilis; Siddartha Devic; Shaddin Dughmi; Vatsal Sharan; Shang-Hua Teng (ALT, 2025)

An Efficient Plugin Method for Metric Optimization of Black-Box Models. - Siddartha Devic; Nurendra Choudhary; Anirudh Srinivasan; Sahika Genc; Branislav Kveton; Gaurush Hiranandani (CoRR, 2025)

From Calibration to Collaboration: LLM Uncertainty Quantification Should Be More Human-Centered. - Siddartha Devic; Tejas Srinivasan; Jesse Thomason; Willie Neiswanger; Vatsal Sharan (CoRR, 2025)