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Das, Debojit; Jain, Shweta; Gujar, Sujit
Budgeted Combinatorial Multi-Armed Bandits Proceedings Article
In: Faliszewski, Piotr; Mascardi, Viviana; Pelachaud, Catherine; Taylor, Matthew E. (Ed.): 21st International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2022, Auckland, New Zealand, May 9-13, 2022, pp. 345–353, International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), 2022.
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Chandlekar, Sanjay; Subramanian, Easwar; Bhat, Sanjay P.; Paruchuri, Praveen; Gujar, Sujit
Multi-unit Double Auctions: Equilibrium Analysis and Bidding Strategy using DDPG in Smart-grids Proceedings Article
In: Faliszewski, Piotr; Mascardi, Viviana; Pelachaud, Catherine; Taylor, Matthew E. (Ed.): 21st International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2022, Auckland, New Zealand, May 9-13, 2022, pp. 1569–1571, International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), 2022.
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Kanaparthy, Samhita; Damle, Sankarshan; Gujar, Sujit
REFORM: Reputation Based Fair and Temporal Reward Framework for Crowdsourcing Proceedings Article
In: Faliszewski, Piotr; Mascardi, Viviana; Pelachaud, Catherine; Taylor, Matthew E. (Ed.): 21st International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2022, Auckland, New Zealand, May 9-13, 2022, pp. 1648–1650, International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), 2022.
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Sharma, Manika; Kothapalli, Kishore; Gujar, Sujit
BlockVac: A Universally Acceptable and Ideal Vaccination System on Blockchain Proceedings Article
In: IEEE International Conference on Blockchain, Blockchain 2022, Espoo, Finland, August 22-25, 2022, pp. 320–325, IEEE, 2022.
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Kanaparthy, Samhita; Padala, Manisha; Damle, Sankarshan; Gujar, Sujit
Fair Federated Learning for Heterogeneous Data Proceedings Article
In: Dasgupta, Gargi; Simmhan, Yogesh; Srinivasan, Balaji Vasan; Bhowmick, Sourav; Singhee, Amith; Ramanath, Maya; Batra, Nipun; Prasad, Abhinandan S. (Ed.): CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), Bangalore, India, January 8 – 10, 2022, pp. 298–299, ACM, 2022.
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Jain, Anurag; Arora, Sanidhay; Damle, Sankarshan; Gujar, Sujit
Tiramisu: Layering Consensus Protocols for Scalable and Secure Blockchains Proceedings Article
In: IEEE International Conference on Blockchain and Cryptocurrency, ICBC 2022, Shanghai, China, May 2-5, 2022, pp. 1–3, IEEE, 2022.
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Chandlekar, Sanjay; Pedasingu, Bala Suraj; Subramanian, Easwar; Bhat, Sanjay; Paruchuri, Praveen; Gujar, Sujit
VidyutVanika21: An Autonomous Intelligent Broker for Smart-grids Proceedings Article
In: Raedt, Luc De (Ed.): Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, IJCAI 2022, Vienna, Austria, 23-29 July 2022, pp. 158–164, ijcai.org, 2022.
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Solanki, Sambhav; Kanaparthy, Samhita; Damle, Sankarshan; Gujar, Sujit
Differentially Private Federated Combinatorial Bandits with Constraints Proceedings Article
In: Amini, Massih-Reza; Canu, Stéphane; Fischer, Asja; Guns, Tias; Novak, Petra Kralj; Tsoumakas, Grigorios (Ed.): Machine Learning and Knowledge Discovery in Databases – European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part IV, pp. 620–637, Springer, 2022.
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Mishra, Shaily; Padala, Manisha; Gujar, Sujit
Fair Allocation with Special Externalities Proceedings Article
In: Khanna, Sankalp; Cao, Jian; Bai, Quan; Xu, Guandong (Ed.): PRICAI 2022: Trends in Artificial Intelligence – 19th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2022, Shanghai, China, November 10-13, 2022, Proceedings, Part I, pp. 3–16, Springer, 2022.
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Mishra, Shaily; Padala, Manisha; Gujar, Sujit
EEF1-NN: Efficient and EF1 Allocations Through Neural Networks Proceedings Article
In: Khanna, Sankalp; Cao, Jian; Bai, Quan; Xu, Guandong (Ed.): PRICAI 2022: Trends in Artificial Intelligence – 19th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2022, Shanghai, China, November 10-13, 2022, Proceedings, Part II, pp. 388–401, Springer, 2022.
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Das, Shantanu; Dhamal, Swapnil; Ghalme, Ganesh; Jain, Shweta; Gujar, Sujit
Individual fairness in feature-based pricing for monopoly markets Proceedings Article
In: Cussens, James; Zhang, Kun (Ed.): Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, UAI 2022, 1-5 August 2022, Eindhoven, The Netherlands, pp. 486–495, PMLR, 2022.
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Chandlekar, Sanjay; Subramanian, Easwar; Bhat, Sanjay P.; Paruchuri, Praveen; Gujar, Sujit
Multi-unit Double Auctions: Equilibrium Analysis and Bidding Strategy using DDPG in Smart-grids Journal Article
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Das, Debojit; Jain, Shweta; Gujar, Sujit
Budgeted Combinatorial Multi-Armed Bandits Journal Article
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Individual Fairness in Feature-Based Pricing for Monopoly Markets Journal Article
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Jain, Anurag; Arora, Sanidhay; Damle, Sankarshan; Gujar, Sujit
Tiramisu: Layering Consensus Protocols for Scalable and Secure Blockchains Journal Article
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Aziz, Haris; Gujar, Sujit; Padala, Manisha; Suzuki, Mashbat; Vollen, Jeremy
Coordinating Monetary Contributions in Participatory Budgeting Journal Article
In: CoRR, vol. abs/2206.05966, 2022.
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Solanki, Sambhav; Kanaparthy, Samhita; Damle, Sankarshan; Gujar, Sujit
Differentially Private Federated Combinatorial Bandits with Constraints Journal Article
In: CoRR, vol. abs/2206.13192, 2022.
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Jain, Anurag; Gujar, Sujit; Srinathan, Kannan
Interlude: Balancing Chaos And Harmony For Fair and Fast Blockchains Journal Article
In: CoRR, vol. abs/2209.10125, 2022.
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Chaurasia, Yash; Subramanian, Visvesh; Gujar, Sujit
PUPoW: A framework for designing blockchains with practically-useful-proof-of-work & vanitycoin Journal Article
In: CoRR, vol. abs/2210.06738, 2022.
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Damle, Sankarshan; Padala, Manisha; Gujar, Sujit
Combinatorial Civic Crowdfunding with Budgeted Agents: Welfare Optimality at Equilibrium and Optimal Deviation Journal Article
In: CoRR, vol. abs/2211.13941, 2022.
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Maheshwara, Samartha S.; Manwani, Naresh
RoLNiP: Robust Learning Using Noisy Pairwise Comparisons Proceedings Article
In: Balasubramanian, Vineeth N.; Tsang, Ivor W. (Ed.): Asian Conference on Machine Learning, ACML 2022, 12-14 December 2022, Hyderabad, India, pp. 706–721, PMLR, 2022.
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Mohandas, Sreenivasan; Manwani, Naresh; Dhulipudi, Durga Prasad
Momentum Iterative Gradient Sign Method Outperforms PGD Attacks Proceedings Article
In: Rocha, Ana Paula; Steels, Luc; Herik, H. Jaap (Ed.): Proceedings of the 14th International Conference on Agents and Artificial Intelligence, ICAART 2022, Volume 3, Online Streaming, February 3-5, 2022, pp. 913–916, SCITEPRESS, 2022.
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Patel, Hima; Guttula, Shanmukha C.; Mittal, Ruhi Sharma; Manwani, Naresh; Berti-Équille, Laure; Manatkar, Abhijit
Advances in Exploratory Data Analysis, Visualisation and Quality for Data Centric AI Systems Proceedings Article
In: Zhang, Aidong; Rangwala, Huzefa (Ed.): KDD ’22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14 – 18, 2022, pp. 4814–4815, ACM, 2022.
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Agarwal, Mudit; Manwani, Naresh
ALBIF: Active Learning with BandIt Feedbacks Proceedings Article
In: Gama, João; Li, Tianrui; Yu, Yang; Chen, Enhong; Zheng, Yu; Teng, Fei (Ed.): Advances in Knowledge Discovery and Data Mining – 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, Proceedings, Part III, pp. 353–364, Springer, 2022.
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Unnam, Narendra Babu; Reddy, P. Krishna; Pandey, Amit; Manwani, Naresh
Journey to the center of the words: Word weighting scheme based on the geometry of word embeddings Proceedings Article
In: Pourabbas, Elaheh; Zhou, Yongluan; Li, Yuchen; Yang, Bin (Ed.): SSDBM 2022: 34th International Conference on Scientific and Statistical Database Management, Copenhagen, Denmark, July 6 – 8, 2022, pp. 2:1–2:12, ACM, 2022.
@inproceedings{DBLP:conf/ssdbm/UnnamRPM22,
title = {Journey to the center of the words: Word weighting scheme based on
the geometry of word embeddings},
author = {Narendra Babu Unnam and P. Krishna Reddy and Amit Pandey and Naresh Manwani},
editor = {Elaheh Pourabbas and Yongluan Zhou and Yuchen Li and Bin Yang},
url = {https://doi.org/10.1145/3538712.3538720},
doi = {10.1145/3538712.3538720},
year = {2022},
date = {2022-01-01},
booktitle = {SSDBM 2022: 34th International Conference on Scientific and Statistical
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pages = {2:1\textendash2:12},
publisher = {ACM},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Manwani, Naresh; Agarwal, Mudit
Delaytron: Efficient Learning of Multiclass Classifiers with Delayed Bandit Feedbacks Journal Article
In: CoRR, vol. abs/2205.08234, 2022.
@article{DBLP:journals/corr/abs-2205-08234,
title = {Delaytron: Efficient Learning of Multiclass Classifiers with Delayed
Bandit Feedbacks},
author = {Naresh Manwani and Mudit Agarwal},
url = {https://doi.org/10.48550/arXiv.2205.08234},
doi = {10.48550/ARXIV.2205.08234},
year = {2022},
date = {2022-01-01},
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Chattopadhyay, Kuntal; Garg, Vishal; Paruchuri, Praveen; Mathur, Jyotirmay; Valluri, Srinivas
Impact of COVID-19 on energy consumption in a residential complex in Hyderabad, India Journal Article
In: Energy Inform., vol. 5, 2022.
@article{DBLP:journals/eninf/ChattopadhyayGP22,
title = {Impact of COVID-19 on energy consumption in a residential complex
in Hyderabad, India},
author = {Kuntal Chattopadhyay and Vishal Garg and Praveen Paruchuri and Jyotirmay Mathur and Srinivas Valluri},
url = {https://doi.org/10.1186/s42162-022-00240-5},
doi = {10.1186/S42162-022-00240-5},
year = {2022},
date = {2022-01-01},
journal = {Energy Inform.},
volume = {5},
keywords = {},
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tppubtype = {article}
}
Dasika, Anoop Karnik; Paruchuri, Praveen
CB+NN Ensemble to Improve Tracking Accuracy in Air Surveillance Proceedings Article
In: Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022, Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence, IAAI 2022, The Twelveth Symposium on Educational Advances in Artificial Intelligence, EAAI 2022 Virtual Event, February 22 – March 1, 2022, pp. 12475–12481, AAAI Press, 2022.
@inproceedings{DBLP:conf/aaai/DasikaP22,
title = {CB+NN Ensemble to Improve Tracking Accuracy in Air Surveillance},
author = {Anoop Karnik Dasika and Praveen Paruchuri},
url = {https://doi.org/10.1609/aaai.v36i11.21515},
doi = {10.1609/AAAI.V36I11.21515},
year = {2022},
date = {2022-01-01},
booktitle = {Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI
2022, Thirty-Fourth Conference on Innovative Applications of Artificial
Intelligence, IAAI 2022, The Twelveth Symposium on Educational Advances
in Artificial Intelligence, EAAI 2022 Virtual Event, February 22
- March 1, 2022},
pages = {12475\textendash12481},
publisher = {AAAI Press},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Viswanathan, Vignesh; Bose, Megha; Paruchuri, Praveen
Moving Target Defense under Uncertainty for Web Applications Proceedings Article
In: Faliszewski, Piotr; Mascardi, Viviana; Pelachaud, Catherine; Taylor, Matthew E. (Ed.): 21st International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2022, Auckland, New Zealand, May 9-13, 2022, pp. 1750–1752, International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), 2022.
@inproceedings{DBLP:conf/atal/ViswanathanBP22,
title = {Moving Target Defense under Uncertainty for Web Applications},
author = {Vignesh Viswanathan and Megha Bose and Praveen Paruchuri},
editor = {Piotr Faliszewski and Viviana Mascardi and Catherine Pelachaud and Matthew E. Taylor},
url = {https://www.ifaamas.org/Proceedings/aamas2022/pdfs/p1750.pdf},
doi = {10.5555/3535850.3536098},
year = {2022},
date = {2022-01-01},
booktitle = {21st International Conference on Autonomous Agents and Multiagent
Systems, AAMAS 2022, Auckland, New Zealand, May 9-13, 2022},
pages = {1750\textendash1752},
publisher = {International Foundation for Autonomous Agents and Multiagent Systems
(IFAAMAS)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Goel, Anmol; Sharma, Charu; Kumaraguru, Ponnurangam
An Unsupervised, Geometric and Syntax-aware Quantification of Polysemy Proceedings Article
In: Goldberg, Yoav; Kozareva, Zornitsa; Zhang, Yue (Ed.): Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11, 2022, pp. 10565–10574, Association for Computational Linguistics, 2022.
@inproceedings{DBLP:conf/emnlp/GoelSK22,
title = {An Unsupervised, Geometric and Syntax-aware Quantification of Polysemy},
author = {Anmol Goel and Charu Sharma and Ponnurangam Kumaraguru},
editor = {Yoav Goldberg and Zornitsa Kozareva and Yue Zhang},
url = {https://doi.org/10.18653/v1/2022.emnlp-main.722},
doi = {10.18653/V1/2022.EMNLP-MAIN.722},
year = {2022},
date = {2022-01-01},
booktitle = {Proceedings of the 2022 Conference on Empirical Methods in Natural
Language Processing, EMNLP 2022, Abu Dhabi, United Arab Emirates,
December 7-11, 2022},
pages = {10565\textendash10574},
publisher = {Association for Computational Linguistics},
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Wagle, Raju; Tricarico, Gioacchino; Sharma, Pawan; Sharma, Charu; Rueda, José Luis; Gonzalez-Longatt, Francisco
Cyber-Physical Co-Simulation Testbed for Real-Time Reactive Power Control in Smart Distribution Network Proceedings Article
In: IEEE PES Innovative Smart Grid Technologies – Asia, ISGT Asia 2022, Singapore, November 1-5, 2022, pp. 11–15, IEEE, 2022.
@inproceedings{DBLP:conf/isgta/WagleTSSRG22,
title = {Cyber-Physical Co-Simulation Testbed for Real-Time Reactive Power
Control in Smart Distribution Network},
author = {Raju Wagle and Gioacchino Tricarico and Pawan Sharma and Charu Sharma and Jos\'{e} Luis Rueda and Francisco Gonzalez-Longatt},
url = {https://doi.org/10.1109/ISGTAsia54193.2022.10003553},
doi = {10.1109/ISGTASIA54193.2022.10003553},
year = {2022},
date = {2022-01-01},
booktitle = {IEEE PES Innovative Smart Grid Technologies - Asia, ISGT Asia
2022, Singapore, November 1-5, 2022},
pages = {11\textendash15},
publisher = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
2021
Damle, Sankarshan; Triastcyn, Aleksei; Faltings, Boi; Gujar, Sujit
Differentially Private Multi-Agent Constraint Optimization Conference Forthcoming
To Appear in the Proceeding of The 20th IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT ’21), Forthcoming.
@conference{Damle2021c,
title = {Differentially Private Multi-Agent Constraint Optimization},
author = {Sankarshan Damle and Aleksei Triastcyn and Boi Faltings and Sujit Gujar},
year = {2021},
date = {2021-12-14},
booktitle = {To Appear in the Proceeding of The 20th IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT '21)},
keywords = {},
pubstate = {forthcoming},
tppubtype = {conference}
}
Damle, Sankarshan; Faltings, Boi; Gujar, Sujit
Blockchain-based Practical Multi-agent Secure Comparison and its Application in Auctions Proceedings Article Forthcoming
In: To Appear in the Proceeding of The 20th IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT ’21), Forthcoming.
@inproceedings{Damle2021d,
title = {Blockchain-based Practical Multi-agent Secure Comparison and its Application in Auctions},
author = {Sankarshan Damle and Boi Faltings and Sujit Gujar},
year = {2021},
date = {2021-12-14},
booktitle = {To Appear in the Proceeding of The 20th IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT '21)},
keywords = {},
pubstate = {forthcoming},
tppubtype = {inproceedings}
}
Padala, Manisha; Damle, Sankarshan; Gujar, Sujit
Learning Equilibrium Contributions in Multi-project Civic Crowdfunding Conference Forthcoming
To Appear in the Proceeding of The 20th IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT ’21), Forthcoming.
@conference{Padala2021b,
title = {Learning Equilibrium Contributions in Multi-project Civic Crowdfunding},
author = {Manisha Padala and Sankarshan Damle and Sujit Gujar},
url = {https://mll.iiit.ac.in/wp-content/uploads/2022/04/wi_iat_camera_ready_compressed-2.pdf},
year = {2021},
date = {2021-12-14},
booktitle = {To Appear in the Proceeding of The 20th IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT '21)},
keywords = {},
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tppubtype = {conference}
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Padala, Manisha; Gujar, Sujit
Mechanism Design without Money for Fair Allocations Conference Forthcoming
To Appear in the proceedings of the 20th IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology 2021 (WI-IAT ’21)., Forthcoming.
@conference{Padala2021c,
title = {Mechanism Design without Money for Fair Allocations},
author = {Manisha Padala and Sujit Gujar},
year = {2021},
date = {2021-12-14},
booktitle = {To Appear in the proceedings of the 20th IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology 2021 (WI-IAT '21).},
keywords = {},
pubstate = {forthcoming},
tppubtype = {conference}
}
Padala, Manisha; Das, Debojit; Gujar, Sujit
Effect of Input Noise Dimension in GANs Proceedings Article Forthcoming
In: Proceedings 28th International Conference on Neural Information Processing (ICONIP) of the Asia-Pacific Neural Network Society 2021 (ICONIP ’21), Forthcoming.
@inproceedings{Padala2021,
title = {Effect of Input Noise Dimension in GANs},
author = {Manisha Padala and Debojit Das and Sujit Gujar
},
year = {2021},
date = {2021-12-08},
booktitle = {Proceedings 28th International Conference on Neural Information Processing (ICONIP) of the Asia-Pacific Neural Network Society 2021 (ICONIP '21)},
keywords = {},
pubstate = {forthcoming},
tppubtype = {inproceedings}
}
Padala, Manisha; Sankarshan Damle,; Gujar, Sujit
Federated Learning Meets Fairness and Differential Privacy Proceedings Article Forthcoming
In: Proceedings of the 28th International Conference on Neural Information Processing (ICONIP) of the Asia-Pacific Neural Network Society 2021 (ICONIP ’21), Forthcoming.
@inproceedings{Manisha2021b,
title = {Federated Learning Meets Fairness and Differential Privacy},
author = {Manisha Padala and Sankarshan Damle, and Sujit Gujar},
year = {2021},
date = {2021-12-08},
publisher = {Proceedings of the 28th International Conference on Neural Information Processing (ICONIP) of the Asia-Pacific Neural Network Society 2021 (ICONIP '21)},
keywords = {},
pubstate = {forthcoming},
tppubtype = {inproceedings}
}
Batra, Gaurav; Manwani, Naresh
Multiclass Classification using Dilute Bandit Feedback Conference Forthcoming
PRICAI 2021, Forthcoming.
@conference{Gaurav2021,
title = {Multiclass Classification using Dilute Bandit Feedback},
author = {Gaurav Batra and Naresh Manwani},
year = {2021},
date = {2021-11-12},
booktitle = {PRICAI 2021},
keywords = {},
pubstate = {forthcoming},
tppubtype = {conference}
}
Reddy, Meghana; Singh, Akansha; Jain, Shweta; Gujar, Sujit
Designing Bounded Min-knapsack Bandits Algorithm for Sustainable Demand Response Conference Forthcoming
18th Pacific Rim International Conference on Artificial Intelligence (PRICAI-2021) , Forthcoming.
@conference{MReddy2021b,
title = {Designing Bounded Min-knapsack Bandits Algorithm for Sustainable Demand Response},
author = {Meghana Reddy and Akansha Singh and Shweta Jain and Sujit Gujar},
year = {2021},
date = {2021-11-08},
booktitle = {18th Pacific Rim International Conference on Artificial Intelligence (PRICAI-2021) },
keywords = {},
pubstate = {forthcoming},
tppubtype = {conference}
}
Damle, Sankarshan; Moti, Moin Hussain; Chandra, Praphul; Gujar, Sujit
Designing Refund Bonus Schemes for Provision Point Mechanism in Civic Crowdfunding Conference Forthcoming
18th Pacific Rim International Conference on Artificial Intelligence (PRICAI-2021) , Forthcoming.
@conference{sankarshan2021b,
title = {Designing Refund Bonus Schemes for Provision Point Mechanism in Civic Crowdfunding},
author = {Sankarshan Damle and Moin Hussain Moti and Praphul Chandra and Sujit Gujar},
year = {2021},
date = {2021-11-08},
booktitle = {18th Pacific Rim International Conference on Artificial Intelligence (PRICAI-2021) },
keywords = {},
pubstate = {forthcoming},
tppubtype = {conference}
}
Sivaprasad, Sarath; Singh, Ankur; Manwani, Naresh; Gandhi, Vineet
The Curious Case of Convex Networks Conference Forthcoming
ECML 2021, Forthcoming.
@conference{Sarath-et-al-2021,
title = {The Curious Case of Convex Networks},
author = {Sarath Sivaprasad and Ankur Singh and Naresh Manwani and Vineet Gandhi},
year = {2021},
date = {2021-09-17},
booktitle = {ECML 2021},
keywords = {},
pubstate = {forthcoming},
tppubtype = {conference}
}
Kalra, Bhavya; Manwani, Naresh
RISAN: Robust Instance Specific Deep Abstention Network Conference Forthcoming
UAI 2021, Forthcoming.
@conference{Bhavya-Naresh2021,
title = {RISAN: Robust Instance Specific Deep Abstention Network},
author = {Bhavya Kalra and Naresh Manwani},
year = {2021},
date = {2021-07-29},
booktitle = {UAI 2021},
keywords = {},
pubstate = {forthcoming},
tppubtype = {conference}
}
Kshitij Gajjar Prerona Chatterjee, Jaikumar Radhakrishnan
Generalized Parametric Path Problems Conference Forthcoming
37th Conference on Uncertainty in Artificial Intelligence (UAI) 2021, Forthcoming.
@conference{Chatterjee2021,
title = {Generalized Parametric Path Problems},
author = {Prerona Chatterjee, Kshitij Gajjar, Jaikumar Radhakrishnan, Girish Varma},
year = {2021},
date = {2021-07-27},
booktitle = {37th Conference on Uncertainty in Artificial Intelligence (UAI) 2021},
journal = {Proceedings of Machine Learning Research},
keywords = {},
pubstate = {forthcoming},
tppubtype = {conference}
}
Reddy, Meghana; Singh, Akansha; Nagy, Zoltan; Gujar, Sujit; Jain, Shweta
Designing Bounded min-Knapsack Bandits Algorithm for Sustainable Demand Response Workshop
Tackling Climate Change with Machine Learning, ICML , 2021.
@workshop{MReddy2021a,
title = {Designing Bounded min-Knapsack Bandits Algorithm for Sustainable Demand Response},
author = {Meghana Reddy and Akansha Singh and Zoltan Nagy and Sujit Gujar and Shweta Jain},
year = {2021},
date = {2021-07-23},
booktitle = {Tackling Climate Change with Machine Learning, ICML },
keywords = {},
pubstate = {published},
tppubtype = {workshop}
}
Manisha, Padala; Damle, Sankarshan; Gujar, Sujit
Building Ethical AI: Federated Learning meets Fairness and Privacy Conference
First Indian Conference on Deployable AI, 2021.
@conference{manisha2021a,
title = {Building Ethical AI: Federated Learning meets Fairness and Privacy},
author = {Padala Manisha and Sankarshan Damle and Sujit Gujar },
year = {2021},
date = {2021-06-17},
booktitle = {First Indian Conference on Deployable AI},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Agarwal, Mudit; Manwani, Naresh
Learning Multiclass Classifier Under Noisy Bandit Feedback Conference Forthcoming
PAKDD 2021, Forthcoming.
@conference{Mudit2021,
title = {Learning Multiclass Classifier Under Noisy Bandit Feedback},
author = {Mudit Agarwal and Naresh Manwani},
year = {2021},
date = {2021-05-15},
booktitle = {PAKDD 2021},
keywords = {},
pubstate = {forthcoming},
tppubtype = {conference}
}
Kalra, Bhavya; Munnangi, Sai Krishna; Majmundar, Kushal; Manwani, Naresh; Paruchuri, Praveen
Cooperative Monitoring of Malicious Activity in Stock Exchanges Workshop
Workshop on Data Assessment and Readiness for Artificial Intelligence, PAKDD 2021, 2021.
@workshop{Bhavya-et.-al-2021,
title = {Cooperative Monitoring of Malicious Activity in Stock Exchanges},
author = {Bhavya Kalra and Sai Krishna Munnangi and Kushal Majmundar and Naresh Manwani and Praveen Paruchuri},
year = {2021},
date = {2021-05-15},
booktitle = {Workshop on Data Assessment and Readiness for Artificial Intelligence, PAKDD 2021},
keywords = {},
pubstate = {published},
tppubtype = {workshop}
}
Jain, Anurag; Siddiqui, Shoeb; Gujar, Sujit
We might walk together, but I run faster: Network Fairness and Scalability in Blockchains Conference
Proceedings of the 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2021), 2021.
@conference{Jain2021,
title = {We might walk together, but I run faster: Network Fairness and Scalability in Blockchains},
author = {Anurag Jain and Shoeb Siddiqui and Sujit Gujar},
editor = {U. Endriss and A. Now\'{e} and F. Dignum and A. Lomuscio },
year = {2021},
date = {2021-05-05},
booktitle = {Proceedings of the 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2021)},
abstract = {Blockchain-based Distributed Ledgers (DLs) promise to transform the existing financial system by making it truly democratic. In the past decade, blockchain technology has seen many novel applications ranging from the banking industry to real estate. However, in order to be adopted universally, blockchain systems must be scalable to support a high volume of transactions. As we increase the throughput of the DL system, the underlying peer-to-peer network might face multiple levels of challenges to keep up with the requirements. Due to varying network capacities, the slower nodes would be at a relative disadvantage compared to the faster ones, which could negatively impact their revenue. In order to quantify their relative advantage or disadvantage, we introduce two measures of network fairness, p_f, the probability of frontrunning and alpha_f, the publishing fairness. We show that as we scale the blockchain, both these measures deteriorate, implying that the slower nodes face a disadvantage at higher throughputs. It results in the faster nodes getting more than their fair share of the reward while the slower nodes (slow in terms of network quality) get less. Thus, fairness and scalability in blockchain systems do not go hand in hand.
In a setting with rational miners, lack of fairness causes miners to deviate from the ``longest chain rule'' or emph{undercut}, which would reduce the blockchain's resilience against byzantine adversaries. Hence, fairness is not only a desirable property for a blockchain system but also essential for the security of the blockchain and any scalable blockchain protocol proposed must ensure fairness.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
In a setting with rational miners, lack of fairness causes miners to deviate from the “longest chain rule” or emph{undercut}, which would reduce the blockchain’s resilience against byzantine adversaries. Hence, fairness is not only a desirable property for a blockchain system but also essential for the security of the blockchain and any scalable blockchain protocol proposed must ensure fairness.
Deva, Ayush; Abhishek, Kumar; Gujar, Sujit
A Multi-Arm Bandit Approach To Subset Selection Under Constraints Conference
International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021, 2021.
@conference{deva21,
title = {A Multi-Arm Bandit Approach To Subset Selection Under Constraints},
author = {Ayush Deva and Kumar Abhishek and Sujit Gujar},
year = {2021},
date = {2021-05-05},
booktitle = {International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Damle, Sankarshan; Gujar, Sujit; Moti, Moin Hussain
FASTEN: Fair and Secure Distributed Voting Using Smart Contracts Proceedings Article
In: IEEE International Conference on Blockchain and Cryptocurrency (IEEE ICBC 2021), 2021.
@inproceedings{Damle2021,
title = {FASTEN: Fair and Secure Distributed Voting Using Smart Contracts},
author = {Sankarshan Damle and Sujit Gujar and Moin Hussain Moti},
year = {2021},
date = {2021-05-04},
booktitle = {IEEE International Conference on Blockchain and Cryptocurrency (IEEE ICBC 2021)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}