82 entries « 1 of 5 »
1.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)
2.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, Forthcoming. (Type: Workshop | BibTeX | Tags: )
3.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), Forthcoming. (Type: Conference | Abstract | BibTeX | Tags: Blockchains, Distributed Ledgers, fairness, Peer-to-Peer Networks, Scalability)
4.Ayush Deva; Kumar Abhishek; Sujit Gujar: A Multi-Arm Bandit Approach To Subset Selection Under Constraints. International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021, Forthcoming. (Type: Conference | BibTeX | Tags: auctions, Mechanism Design, Multi-arm Bandits)
5.Sankarshan Damle; Sujit Gujar; Moin Hussain Moti: FASTEN: Fair and Secure Distributed Voting Using Smart Contracts. In: IEEE International Conference on Blockchain and Cryptocurrency (IEEE ICBC 2021), 2021. (Type: Conference | BibTeX | Tags: Ethereum, Privacy, Security, Voting)
6.Ganesh Ghalme; Swapnil Dhamal; Shweta Jain; Sujit Gujar; Narahari Y: Ballooning Multi-armed Bandits. In: Journal of Artificial Intelligence, Forthcoming. (Type: Journal Article | BibTeX | Tags: Multi-arm Bandits)
7.Sankarshan Damle; Aleksei Triastcyn; Boi Faltings; Sujit Gujar: Differentially Private Multi-Agent Constraint Optimization. The Second AAAI Workshop on Privacy-Preserving Artificial Intelligence (PPAI-21), 2021. (Type: Workshop | Abstract | Links | BibTeX | Tags: differential privacy)
8.Maanik Arora; Naresh Manwani: Exact Passive Aggressive Algorithm for Multiclass Classification Using Partial Labels. CoDS-COMAD 2021, Forthcoming. (Type: Conference | BibTeX | Tags: multiclass classification, online learning)
9.Sanidhay Arora; Anurag Jain; Sankarshan Damle; Sujit Gujar: ASHWAChain: A Fast, Scalable and Strategy-proof Committee-based Blockchain Protocol. Workshop on Game Theory in Blockchain at WINE 2020 (GTiB@WINE 2020), 2020. (Type: Workshop | BibTeX | Tags: Blockchain, Blockchain Consensus Protocols, Game Theory, Scalable Blockchain)
10.Anurag Jain; Sujit Gujar: Block Rewards, Not Transaction Fees Keep Miners Faithful In Blockchain Protocols. Workshop on Game Theory in Blockchain at WINE 2020 (GTiB@WINE 2020), 2020. (Type: Workshop | BibTeX | Tags: Block Rewards, Blockchains, Distributed Ledgers, Faithful Implementation, Game Theory)
11.Maanik Arora; Naresh Manwani: Exact Passive Aggressive Algorithm for Multiclass Classification Using Bandit Feedbacks. ACML 2020, 2020. (Type: Conference | Links | BibTeX | Tags: )
12.Bhanu Garg; Naresh Manwani: Robust Deep Ordinal Regression under Label Noise. ACML 2020, 2020. (Type: Conference | Links | BibTeX | Tags: Label Noise, Ordinal Regression)
13.Padala Manisha; Sujit Gujar: FNNC: Achieving Fairness through Neural Networks. The 29th International Joint Conference on Artificial Intelligence, IJCAI 2020, 2020. (Type: Conference | Abstract | BibTeX | Tags: fairness, Neural Networks)
14.Praveen Paruchuri; Sreeja Kamishetty; Soumya Vadlamannati: System and method for controlling vehicular pollution concentration and providing maximum traffic flow throughput . 2020. (Type: Patent | BibTeX | Tags: patent)
15.Rajarshi Bhattacharjee; Naresh Manwani: Online Algorithms for Multiclass Classification using Partial Labels. In: PAKDD 2020, 2020. (Type: Conference | Links | BibTeX | Tags: multiclass classification, online learning, partial label)
16.Shoeb Siddiqui; Sujit Gujar; Ganesh Vanahalli: BitcoinF: Achieving Fairness For Bitcoin In Transaction Fee Only Model. International Conference on Autonomous Agents and Multi-agent Systems, AAMAS 2020, 2020. (Type: Conference | BibTeX | Tags: bitcoin, fairness)
17.Kumar Abhishek; Shweta Jain; Sujit Gujar: Designing Truthful Contextual Multi-Armed Bandits based Sponsored Search Auctions. International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2020, 2020. (Type: Conference | BibTeX | Tags: auctions, online learning)
18.Ganesh Ghalme; Swapnil Dhamal; Shweta Jain; Sujit Gujar; Yadati Narahari: Ballooning Multi-Armed Bandits. International Conference on Autonomous Agents and Multi-agent Systems, AAMAS 2020, 2020. (Type: Conference | BibTeX | Tags: ActiveLearning, MAB, online learning)
19.Sankarshan Damle; Moin Hussain Moti; Praphul Chandra; Sujit Gujar: Designing Refund Bonus Schemes for Provision Point Mechanism in Civic Crowdfunding. Games, Agents, and Incentives Workshop (GAIW@AAMAS 2020), 2020. (Type: Workshop | Links | BibTeX | Tags: Blockchains, Civic Crowdfunding, Ethereum)
20.Moin Hussain Moti; Dimitris Chatzopoulos; Pan Hui; Boi Faltings; Sujit Gujar: Orthos: A Trustworthy AI Framework For Data Acquisition. 8th International Workshop on Engineering Multi-Agent Systems (EMAS 2020), 2020. (Type: Workshop | BibTeX | Tags: Blockchains, Crowdsensing)
82 entries « 1 of 5 »