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2020 – today
- 2024
[c15]Sankarshan Damle, Manisha Padala, Sujit Gujar:
Designing Redistribution Mechanisms for Reducing Transaction Fees in Blockchains. AAMAS 2024: 416-424- [c14]Manisha Padala
, Sankarshan Damle, Sujit Gujar:
Tutorial on Fair and Private Deep Learning. COMAD/CODS 2024: 510-513 - [i13]Sankarshan Damle, Manisha Padala, Sujit Gujar:
Designing Redistribution Mechanisms for Reducing Transaction Fees in Blockchains. CoRR abs/2401.13262 (2024) - 2023
- [c13]Sankarshan Damle, Manisha Padala, Sujit Gujar:
Combinatorial Civic Crowdfunding with Budgeted Agents: Welfare Optimality at Equilibrium and Optimal Deviation. AAAI 2023: 5582-5590 - [c12]Samhita Kanaparthy, Manisha Padala, Sankarshan Damle, Ravi Kiran Sarvadevabhatla, Sujit Gujar:
F3: Fair and Federated Face Attribute Classification with Heterogeneous Data. PAKDD (1) 2023: 483-494 - [c11]Haris Aziz, Sujit Gujar, Manisha Padala, Mashbat Suzuki, Jeremy Vollen:
Coordinating Monetary Contributions in Participatory Budgeting. SAGT 2023: 142-160 - [i12]Shaily Mishra, Manisha Padala, Sujit Gujar:
Fair Allocation of goods and chores - Tutorial and Survey of Recent Results. CoRR abs/2307.10985 (2023) - 2022
- [c10]Samhita Kanaparthy, Manisha Padala, Sankarshan Damle, Sujit Gujar:
Fair Federated Learning for Heterogeneous Data. COMAD/CODS 2022: 298-299 - [c9]Shaily Mishra, Manisha Padala, Sujit Gujar:
Fair Allocation with Special Externalities. PRICAI (1) 2022: 3-16 - [c8]Shaily Mishra, Manisha Padala, Sujit Gujar:
EEF1-NN: Efficient and EF1 Allocations Through Neural Networks. PRICAI (2) 2022: 388-401 - [i11]Haris Aziz, Sujit Gujar, Manisha Padala, Mashbat Suzuki, Jeremy Vollen:
Coordinating Monetary Contributions in Participatory Budgeting. CoRR abs/2206.05966 (2022) - [i10]Sankarshan Damle, Manisha Padala, Sujit Gujar:
Combinatorial Civic Crowdfunding with Budgeted Agents: Welfare Optimality at Equilibrium and Optimal Deviation. CoRR abs/2211.13941 (2022) - 2021
- [c7]Manisha Padala, Debojit Das, Sujit Gujar:
Effect of Input Noise Dimension in GANs. ICONIP (3) 2021: 558-569 - [c6]Manisha Padala, Sankarshan Damle, Sujit Gujar:
Federated Learning Meets Fairness and Differential Privacy. ICONIP (6) 2021: 692-699 - [c5]Manisha Padala, Sankarshan Damle, Sujit Gujar:
Learning Equilibrium Contributions in Multi-project Civic Crowdfunding. WI/IAT 2021: 368-375 - [c4]Manisha Padala, Sujit Gujar:
Mechanism Design without Money for Fair Allocations. WI/IAT 2021: 382-389 - [i9]Manisha Padala, Sankarshan Damle, Sujit Gujar:
Federated Learning Meets Fairness and Differential Privacy. CoRR abs/2108.09932 (2021) - [i8]Shaily Mishra, Manisha Padala, Sujit Gujar:
Fair and Efficient Resource Allocation with Externalities. CoRR abs/2108.12806 (2021) - [i7]Samhita Kanaparthy, Manisha Padala, Sankarshan Damle, Sujit Gujar:
Fair Federated Learning for Heterogeneous Face Data. CoRR abs/2109.02351 (2021) - [i6]Shaily Mishra, Padala Manisha, Sujit Gujar:
EEF1-NN: Efficient and EF1 allocations through Neural Networks. CoRR abs/2112.05436 (2021) - [i5]Padala Manisha, Sujit Gujar:
Mechanism Design without Money for Fair Allocations. CoRR abs/2112.07255 (2021) - 2020
- [c3]Padala Manisha, Sujit Gujar:
FNNC: Achieving Fairness through Neural Networks. IJCAI 2020: 2277-2283 - [i4]Padala Manisha, Debojit Das, Sujit Gujar:
Effect of Input Noise Dimension in GANs. CoRR abs/2004.06882 (2020)
2010 – 2019
- 2019
- [c2]Padala Manisha, Sujit Gujar:
Thompson Sampling Based Multi-Armed-Bandit Mechanism Using Neural Networks. AAMAS 2019: 2111-2113 - 2018
- [c1]Padala Manisha, C. V. Jawahar, Sujit Gujar:
Learning Optimal Redistribution Mechanisms Through Neural Networks. AAMAS 2018: 345-353 - [i3]P. Manisha, C. V. Jawahar, Sujit Gujar:
Learning Optimal Redistribution Mechanisms through Neural Networks. CoRR abs/1801.08808 (2018) - [i2]P. Manisha, Sujit Gujar:
Generative Adversarial Networks (GANs): What it can generate and What it cannot? CoRR abs/1804.00140 (2018) - [i1]P. Manisha, Sujit Gujar:
A Neural Network Framework for Fair Classifier. CoRR abs/1811.00247 (2018)
Coauthor Index
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last updated on 2024-05-05 00:12 CEST by the dblp team
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