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Journal Articles
- 2020
[j1]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): 2386-2399 (2020)
Conference and Workshop Papers
- 2024
- [c7]Julian Asilis, Siddartha Devic, Shaddin Dughmi, Vatsal Sharan, Shang-Hua Teng:
Regularization and Optimal Multiclass Learning. COLT 2024: 260-310 - [c6]Julian Asilis, Siddartha Devic, Shaddin Dughmi, Vatsal Sharan, Shang-Hua Teng:
Open Problem: Can Local Regularization Learn All Multiclass Problems? COLT 2024: 5301-5305 - [c5]Siddartha Devic, Aleksandra Korolova, David Kempe, Vatsal Sharan:
Stability and Multigroup Fairness in Ranking with Uncertain Predictions. ICML 2024 - 2023
- [c4]Siddartha Devic, David Kempe, Vatsal Sharan, Aleksandra Korolova:
Fairness in Matching under Uncertainty. ICML 2023: 7775-7794 - 2022
- [c3]Zihao Deng, Siddartha Devic, Brendan Juba:
Polynomial Time Reinforcement Learning in Factored State MDPs with Linear Value Functions. AISTATS 2022: 11280-11304 - 2021
- [c2]Genya Ishigaki, Siddartha Devic, Riti Gour, Jason P. Jue:
Dynamic Bandwidth Allocation for PON Slicing with Performance-Guaranteed Online Convex Optimization. GLOBECOM 2021: 1-6 - 2019
- [c1]Genya Ishigaki, Siddartha Devic, Riti Gour, Jason P. Jue:
DeepPR: Incremental Recovery for Interdependent VNFs with Deep Reinforcement Learning. GLOBECOM 2019: 1-6
Informal and Other Publications
- 2024
- [i10]Siddartha Devic, Aleksandra Korolova, David Kempe, Vatsal Sharan:
Stability and Multigroup Fairness in Ranking with Uncertain Predictions. CoRR abs/2402.09326 (2024) - [i9]Julian Asilis, Siddartha Devic, Shaddin Dughmi, Vatsal Sharan, Shang-Hua Teng:
Learnability is a Compact Property. CoRR abs/2402.10360 (2024) - [i8]Dutch Hansen, Siddartha Devic, Preetum Nakkiran, Vatsal Sharan:
When is Multicalibration Post-Processing Necessary? CoRR abs/2406.06487 (2024) - 2023
- [i7]Siddartha Devic, David Kempe, Vatsal Sharan, Aleksandra Korolova:
Fairness in Matching under Uncertainty. CoRR abs/2302.03810 (2023) - [i6]Julian Asilis, Siddartha Devic, Shaddin Dughmi, Vatsal Sharan, Shang-Hua Teng:
Regularization and Optimal Multiclass Learning. CoRR abs/2309.13692 (2023) - 2022
- [i5]Genya Ishigaki, Siddartha Devic, Riti Gour, Jason P. Jue:
Dynamic Bandwidth Allocation for PON Slicing with Performance-Guaranteed Online Convex Optimization. CoRR abs/2201.07363 (2022) - 2021
- [i4]Siddartha Devic, Zihao Deng, Brendan Juba:
Polynomial Time Reinforcement Learning in Correlated FMDPs with Linear Value Functions. CoRR abs/2107.05187 (2021) - 2020
- [i3]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 abs/2002.07386 (2020) - 2019
- [i2]Genya Ishigaki, Siddartha Devic, Riti Gour, Jason P. Jue:
DeepPR: Incremental Recovery for Interdependent VNFs with Deep Reinforcement Learning. CoRR abs/1904.11533 (2019) - [i1]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 abs/1909.00995 (2019)
Coauthor Index
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