hastagiri vanchinathan
hastagiri vanchinathan
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TitleCited byYear
Game Theoretic Problems in Network Economics and Mechanism Design Solutions
Y Narahari, D Garg, R Narayanam, HP Vanchinathan
Springer, 2009
Explore-exploit in top-n recommender systems via gaussian processes
HP Vanchinathan, I Nikolic, F De Bona, A Krause
Proceedings of the 8th ACM Conference on Recommender systems, 225-232, 2014
Kickback Cuts Backprop's Red-Tape: Biologically Plausible Credit Assignment in Neural Networks
D Balduzzi, H Vanchinathan, J Buhmann
AAAI, Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
Discovering valuable items from massive data
HP Vanchinathan, A Marfurt, CA Robelin, D Kossmann, A Krause
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015
Beyond collaborative filtering: The list recommendation problem
O Sar Shalom, N Koenigstein, U Paquet, HP Vanchinathan
Proceedings of the 25th international conference on world wide web, 63-72, 2016
Deducing Shadow User Profiles For Ad Campaigns
US Patent 20,120,023,046, 2012
Optimal auctions for multi-unit procurement with volume discount bids
RK Gautam, N Hemachandra, Y Narahari, H Prakash, D Kulkarni, J Tew
International Journal of Operational Research 6 (1), 70-91, 2009
LOCO: Distributing ridge regression with random projections
B McWilliams, C Heinze, N Meinshausen, G Krummenacher, ...
Stat 1050, 26, 2014
Profile prediction for shared computers
US Patent 20,120,109,956, 2012
Efficient partial monitoring with prior information
HP Vanchinathan, G Bartók, A Krause
Advances in Neural Information Processing Systems, 1691-1699, 2014
Automatic Internet Search Advertising Campaign Variable Optimization for Aiding Advertising Agency Efficiencies
US Patent 20,120,078,730, 2012
A mechanism design approach to resource procurement in computational grids with rational resource providers
H Prakash
Keyword bid optimization under cost per click constraints
US Patent 20,110,196,736, 2011
A Strategyproof Auction Mechanism for Grid Scheduling with Selfish Entities
H Prakash, Y Narahari
Learning to recommend: Interactive learning with limited feedback
HP Vanchinathan
ETH Zurich, 2015
Systems and Methods for Matching Complementary Risk Profiles to Enhance Digital Ad Delivery
US Patent 20,120,116,891, 2012
Incentive Compatible Mechanisms for Resource Procurement in Computational Grids with Rational Resource Providers
H Prakash, Y Narahari
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