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1.Kritika Prakash; Fiza Hussain; Praveen Paruchuri; Sujit Gujar: How Private Is Your RL Policy? An Inverse RL Based Analysis Framework. In: 36th AAAI Conference on Artificial Intelligence , AAAI, Forthcoming. (Type: Conference | BibTeX | Tags: differential privacy, inverse reinforcement learning, Reinforcement Learning)
2.Samhita Kanaparthy; Manisha Padala; Sankarshan Damle; Sujit Gujar: Fair Federated Learning for Heterogeneous Data. Young Researchers Symposium, CODS-COMAD'22., Forthcoming. (Type: Conference | BibTeX | Tags: fairness, federated learning)
3.Ashutosh Ranjan; Vinay Ramani; Sujit Gujar: Dynamic Matching in Campus Placements: The Benefits and Affordability of the Dream Option. In: IMB Management Review, Forthcoming. (Type: Journal Article | BibTeX | Tags: campus placements, matching)
4.Sankarshan Damle; Aleksei Triastcyn; Boi Faltings; Sujit Gujar: Differentially Private Multi-Agent Constraint Optimization. To Appear in the Proceeding of The 20th IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT '21), Forthcoming. (Type: Conference | BibTeX | Tags: differential privacy, distributed constrained optimization)
5.Sankarshan Damle; Boi Faltings; Sujit Gujar: Blockchain-based Practical Multi-agent Secure Comparison and its Application in Auctions. 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. (Type: Conference | BibTeX | Tags: Blockchain, combinatorial auction, cryptography, Privacy, Security)
6.Manisha Padala; Sankarshan Damle; Sujit Gujar: Learning Equilibrium Contributions in Multi-project Civic Crowdfunding. To Appear in the Proceeding of The 20th IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT '21), Forthcoming. (Type: Conference | BibTeX | Tags: Civic Crowdfunding, Mechanism Design, Reinforcement Learning)
7.Manisha Padala; Sujit Gujar: Mechanism Design without Money for Fair Allocations. 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. (Type: Conference | BibTeX | Tags: fairness, Mechanism Design)
8.Manisha Padala; Debojit Das; Sujit Gujar: Effect of Input Noise Dimension in GANs. In: Proceedings 28th International Conference on Neural Information Processing (ICONIP) of the Asia-Pacific Neural Network Society 2021 (ICONIP '21), Forthcoming. (Type: Conference | BibTeX | Tags: GAN, Machine Learning)
9.Manisha Padala; Sankarshan Damle ; Sujit Gujar: Federated Learning Meets Fairness and Differential Privacy. In: Proceedings of the 28th International Conference on Neural Information Processing (ICONIP) of the Asia-Pacific Neural Network Society 2021 (ICONIP '21), Forthcoming. (Type: Conference | BibTeX | Tags: differential privacy, fairness, federated learning)
10.Gaurav Batra; Naresh Manwani: Multiclass Classification using Dilute Bandit Feedback. PRICAI 2021, Forthcoming. (Type: Conference | BibTeX | Tags: Bandit Feedback, multiclass classification, online learning)
11.Meghana Reddy; Akansha Singh; Shweta Jain; Sujit Gujar: Designing Bounded Min-knapsack Bandits Algorithm for Sustainable Demand Response. 18th Pacific Rim International Conference on Artificial Intelligence (PRICAI-2021) , Forthcoming. (Type: Conference | BibTeX | Tags: Multi-arm Bandits, smart grids)
12.Sankarshan Damle; Moin Hussain Moti; Praphul Chandra; Sujit Gujar: Designing Refund Bonus Schemes for Provision Point Mechanism in Civic Crowdfunding. 18th Pacific Rim International Conference on Artificial Intelligence (PRICAI-2021) , Forthcoming. (Type: Conference | BibTeX | Tags: Blockchains, Civic Crowdfunding, differential privacy, fairness, federated learning)
13.Sarath Sivaprasad; Ankur Singh; Naresh Manwani; Vineet Gandhi: The Curious Case of Convex Networks. ECML 2021, Forthcoming. (Type: Conference | BibTeX | Tags: )
14.Bhavya Kalra; Naresh Manwani: RISAN: Robust Instance Specific Deep Abstention Network. UAI 2021, Forthcoming. (Type: Conference | BibTeX | Tags: )
15.Jaikumar Radhakrishnan Girish Varma Prerona Chatterjee Kshitij Gajjar : Generalized Parametric Path Problems. 37th Conference on Uncertainty in Artificial Intelligence (UAI) 2021, Forthcoming. (Type: Conference | BibTeX | Tags: Artificial Intelligence)
16.Meghana Reddy; Akansha Singh; Zoltan Nagy; Sujit Gujar; Shweta Jain: Designing Bounded min-Knapsack Bandits Algorithm for Sustainable Demand Response. Tackling Climate Change with Machine Learning, ICML , 2021. (Type: Workshop | BibTeX | Tags: Multi-arm Bandits, smart grids)
17.Padala Manisha; Sankarshan Damle; Sujit Gujar: Building Ethical AI: Federated Learning meets Fairness and Privacy. First Indian Conference on Deployable AI, 2021. (Type: Conference | BibTeX | Tags: differential privacy, fairness, federated learning)
18.Mudit Agarwal; Naresh Manwani: Learning Multiclass Classifier Under Noisy Bandit Feedback. PAKDD 2021, Forthcoming. (Type: Conference | BibTeX | Tags: Bandit Feedback, Label Noise, multiclass classification, online learning)
19.Bhavya Kalra; Sai Krishna Munnangi; Kushal Majmundar; Naresh Manwani; Praveen Paruchuri: Cooperative Monitoring of Malicious Activity in Stock Exchanges. Workshop on Data Assessment and Readiness for Artificial Intelligence, PAKDD 2021, 2021. (Type: Workshop | BibTeX | Tags: )
20.Anurag Jain; Shoeb Siddiqui; Sujit Gujar: We might walk together, but I run faster: Network Fairness and Scalability in Blockchains. Proceedings of the 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2021), 2021. (Type: Conference | Abstract | BibTeX | Tags: Blockchains, Distributed Ledgers, fairness, Peer-to-Peer Networks, Scalability)
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