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Somdeb Sarkhel
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Lifted MAP inference for Markov logic networks
S Sarkhel, D Venugopal, P Singla, V Gogate
Artificial intelligence and statistics, 859-867, 2014
502014
Utilizing artificial intelligence to generate enhanced digital content and improve digital content campaign design
V Swaminathan, S Sarkhel, S Mitra
US Patent 10,887,640, 2021
492021
Toolchain*: Efficient action space navigation in large language models with a* search
Y Zhuang, X Chen, T Yu, S Mitra, V Bursztyn, RA Rossi, S Sarkhel, ...
arXiv preprint arXiv:2310.13227, 2023
412023
Just count the satisfied groundings: Scalable local-search and sampling based inference in mlns
D Venugopal, S Sarkhel, V Gogate
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
322015
Scalable training of Markov logic networks using approximate counting
S Sarkhel, D Venugopal, T Pham, P Singla, V Gogate
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
312016
User segment identification based on similarity in content consumption
W Kar, V Swaminathan, S Sarkhel
US Patent 10,789,620, 2020
292020
Fast lifted map inference via partitioning
S Sarkhel, P Singla, VG Gogate
Advances in Neural Information Processing Systems 28, 2015
202015
On parameter tying by quantization
L Chou, S Sarkhel, N Ruozzi, V Gogate
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
172016
Predicting digital personas for digital-content recommendations using a machine-learning-based persona classifier
S Sarkhel, V Swaminathan, S Yang, S Mitra, L Shivalingaiah, J Boyer, ...
US Patent 10,904,599, 2021
162021
Scalable bid landscape forecasting in real-time bidding
A Ghosh, S Mitra, S Sarkhel, J Xie, G Wu, V Swaminathan
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019
152019
Magician: Scalable inference and learning in Markov logic using approximate symmetries
D Venugopal, S Sarkhel, V Gogate
The University of Memphis, Tech. Rep., 2016
132016
Personalized video recommendations for shared accounts
S Yang, S Sarkhel, S Mitra, V Swaminathan
2017 IEEE International Symposium on Multimedia (ISM), 256-259, 2017
122017
UAI 2014 inference competition
V Gogate, T Rahman, S Sarkhel, D Smith, D Venugopal
See www. hlt. utdallas. edu/vgogate/uai14-competition, 2014
122014
Flash: concept drift adaptation in federated learning
K Panchal, S Choudhary, S Mitra, K Mukherjee, S Sarkhel, S Mitra, ...
International Conference on Machine Learning, 26931-26962, 2023
112023
An integer polynomial programming based framework for lifted MAP inference
S Sarkhel, D Venugopal, P Singla, VG Gogate
Advances in Neural Information Processing Systems 27, 2014
102014
Utilizing machine learning to generate parametric distributions for digital bids in a real-time digital bidding environment
S Mitra, A Ghosh, S Sarkhel, J Xie
US Patent App. 16/248,287, 2020
92020
On lifted inference using neural embeddings
MM Islam, S Sarkhel, D Venugopal
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 7916-7923, 2019
92019
Efficient weight learning in high-dimensional untied mlns
KM Al Farabi, S Sarkhel, D Venugopal
International Conference on Artificial Intelligence and Statistics, 1637-1645, 2018
92018
Lifting WALKSAT-based local search algorithms for MAP inference
S Sarkhel, V Gogate
Workshops at the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013
92013
Open-domain trending hashtag recommendation for videos
S Mehta, S Sarkhel, X Chen, S Mitra, V Swaminathan, R Rossi, A Aminian, ...
2021 IEEE International Symposium on Multimedia (ISM), 174-181, 2021
82021
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