Narasimhan, Harikrishna
Bibliographic References tagged with Narasimhan, Harikrishna
Not finding what you're looking for? Try using Advanced Search.
Not finding what you're looking for? Try using Advanced Search.
P. Duetting, Z. Feng, H. Narasimhan, D. C. Parkes, and S. S. Ravindranath,
“Optimal Auctions through Deep Learning: Advances in Differentiable Economics. ”, J. ACM , vol. 71, no. (1), pp. 5:1–5:53, 2024.
P. Duetting, Z. Feng, H. Narasimhan, D. C. Parkes, and S. S. Ravindranath,
“Optimal Auctions through Deep Learning: Advances in Differentiable Economics. ”, J. ACM , vol. 71, no. (1), pp. 5:1–5:53, 2024.
P. Duetting, Z. Feng, H. Narasimhan, D. C. Parkes, and S. S. Ravindranath,
“Optimal auctions through deep learning”, Communications of the ACM, vol. 64, no. 8, pp. 109–116, 2021.
P. Duetting, Z. Feng, H. Narasimhan, D. C. Parkes, and S. S. Ravindranath,
“Optimal auctions through deep learning”, Communications of the ACM, vol. 64, no. 8, pp. 109–116, 2021.
P. Duetting, Z. Feng, H. Narasimham, D. C. Parkes, and S. S. Ravindranath,
“Optimal Auctions through Deep Learning”, in Proceedings of the 36th International Conference on Machine Learning (ICML’19), 2019, pp. 1706–1715.
P. Duetting, Z. Feng, H. Narasimham, D. C. Parkes, and S. S. Ravindranath,
“Optimal Auctions through Deep Learning”, in Proceedings of the 36th International Conference on Machine Learning (ICML’19), 2019, pp. 1706–1715.
N. Golowich, H. Narasimhan, and D. C. Parkes,
“Deep Learning for Multi-Facility Location Mechanism Design”, in Proceedings of the 17th International Joint Conference on Artificial Intelligence (IJCAI 2018), 2018, pp. 261–267.
N. Golowich, H. Narasimhan, and D. C. Parkes,
“Deep Learning for Multi-Facility Location Mechanism Design”, in Proceedings of the 17th International Joint Conference on Artificial Intelligence (IJCAI 2018), 2018, pp. 261–267.
Z. Feng, H. Narasimhan, and D. C. Parkes,
“Deep Learning for Revenue-Optimal Auctions with Budgets”, in Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems. (AAMAS 2018), 2018, pp. 354–362.
Z. Feng, H. Narasimhan, and D. C. Parkes,
“Deep Learning for Revenue-Optimal Auctions with Budgets”, in Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems. (AAMAS 2018), 2018, pp. 354–362.
P. Duetting, Z. Feng, H. Narasimhan, and D. C. Parkes,
“Optimal Economic Design through Deep Learning”, in Proc. of the NIPS Workshop on "Learning in the Presence of Strategic Behavior", Long Beach, CA, 2017.
P. Duetting, Z. Feng, H. Narasimhan, and D. C. Parkes,
“Optimal Economic Design through Deep Learning”, in Proc. of the NIPS Workshop on "Learning in the Presence of Strategic Behavior", Long Beach, CA, 2017.
H. Narasimhan, S. Agarwal, and D. C. Parkes,
“Automated Mechanism Design without Money via Machine Learning”, in Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI’16), 2016, pp. 433–439.
H. Narasimhan, S. Agarwal, and D. C. Parkes,
“Automated Mechanism Design without Money via Machine Learning”, in Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI’16), 2016, pp. 433–439.
H. Narasimhan and D. C. Parkes,
“A General Statistical Framework for Designing Strategy-proof Assignment Mechanisms”, in Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI’16), 2016.
H. Narasimhan and D. C. Parkes,
“A General Statistical Framework for Designing Strategy-proof Assignment Mechanisms”, in Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI’16), 2016.
H. Narasimhan, D. C. Parkes, and Y. Singer,
“Learnability of Influence in Networks”, in Proceedings of the 29th Annual Conference on Neural Information Processing Systems (NIPS 2015), 2015, pp. 3186–3194.
H. Narasimhan, D. C. Parkes, and Y. Singer,
“Learnability of Influence in Networks”, in Proceedings of the 29th Annual Conference on Neural Information Processing Systems (NIPS 2015), 2015, pp. 3186–3194.