Siddartha Devic

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 17

Top Topics

Online Convex Optimization

Direct Policy Search

Multiclass Learning

Recovery Algorithm

Top Venues

Publications

Julian Asilis, Siddartha Devic, Shaddin Dughmi, Vatsal Sharan, Shang-Hua Teng
Open Problem: Can Local Regularization Learn All Multiclass Problems? COLT (2024)
Siddartha Devic, Aleksandra Korolova, David Kempe, Vatsal Sharan
Stability and Multigroup Fairness in Ranking with Uncertain Predictions. CoRR (2024)
Julian Asilis, Siddartha Devic, Shaddin Dughmi, Vatsal Sharan, Shang-Hua Teng
Learnability is a Compact Property. CoRR (2024)
Julian Asilis, Siddartha Devic, Shaddin Dughmi, Vatsal Sharan, Shang-Hua Teng
Regularization and Optimal Multiclass Learning. COLT (2024)
Dutch Hansen, Siddartha Devic, Preetum Nakkiran, Vatsal Sharan
When is Multicalibration Post-Processing Necessary? CoRR (2024)
Siddartha Devic, David Kempe, Vatsal Sharan, Aleksandra Korolova
Fairness in Matching under Uncertainty. CoRR (2023)
Siddartha Devic, David Kempe, Vatsal Sharan, Aleksandra Korolova
Fairness in Matching under Uncertainty. ICML (2023)
Julian Asilis, Siddartha Devic, Shaddin Dughmi, Vatsal Sharan, Shang-Hua Teng
Regularization and Optimal Multiclass Learning. CoRR (2023)
Zihao Deng, Siddartha Devic, Brendan Juba
Polynomial Time Reinforcement Learning in Factored State MDPs with Linear Value Functions. AISTATS (2022)
Genya Ishigaki, Siddartha Devic, Riti Gour, Jason P. Jue
Dynamic Bandwidth Allocation for PON Slicing with Performance-Guaranteed Online Convex Optimization. CoRR (2022)
Siddartha Devic, Zihao Deng, Brendan Juba
Polynomial Time Reinforcement Learning in Correlated FMDPs with Linear Value Functions. CoRR (2021)
Genya Ishigaki, Siddartha Devic, Riti Gour, Jason P. Jue
Dynamic Bandwidth Allocation for PON Slicing with Performance-Guaranteed Online Convex Optimization. GLOBECOM (2021)
Genya Ishigaki, Siddartha Devic, Riti Gour, Jason P. Jue
DeepPR: Progressive Recovery for Interdependent VNFs With Deep Reinforcement Learning. IEEE J. Sel. Areas Commun. 38 (10) (2020)
Ashkan Yousefpour, Brian Q. Nguyen, Siddartha Devic, Guanhua Wang, Aboudy Kreidieh, Hans Lobel, Alexandre M. Bayen, Jason P. Jue
Failout: Achieving Failure-Resilient Inference in Distributed Neural Networks. CoRR (2020)
Genya Ishigaki, Siddartha Devic, Riti Gour, Jason P. Jue
DeepPR: Incremental Recovery for Interdependent VNFs with Deep Reinforcement Learning. CoRR (2019)
Ashkan Yousefpour, Siddartha Devic, Brian Q. Nguyen, Aboudy Kreidieh, Alan Liao, Alexandre M. Bayen, Jason P. Jue
Guardians of the Deep Fog: Failure-Resilient DNN Inference from Edge to Cloud. CoRR (2019)
Genya Ishigaki, Siddartha Devic, Riti Gour, Jason P. Jue
DeepPR: Incremental Recovery for Interdependent VNFs with Deep Reinforcement Learning. GLOBECOM (2019)