Double or Nothing: Multiplicative Incentive Mechanisms for Crowdsourcing
Nihar B. Shah, Denny Zhou
Journal of Machine Learning Research | September 2016, Vol 17(165): pp. 1-52
Publications
Publications par année
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Exact Exponent in Optimal Rates for Crowdsourcing
Chao Gao, Yu Lu, Denny Zhou
Proceedings of the 33rd International Conference on Machine Learning | June 2016
No Oops, You Won’t Do It Again: Mechanisms for Self-correction in Crowdsourcing
Nihar Shah, Denny Zhou
Proceedings of the 33rd International Conference on Machine Learning | June 2016
Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing
Yuchen Zhang, Xi Chen, Denny Zhou, Michael L. Jordan
Journal of Machine Learning Research | January 2016, Vol 17(102): pp. 1-44
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Double or Nothing: Multiplicative Incentive Mechanisms for Crowdsourcing
Nihar Bhadresh Shah, Denny Zhou
Advances in Neural Information Processing Systems 28 (NIPS 2015) | December 2015
Approval Voting and Incentives in Crowdsourcing
Nihar Shah, Denny Zhou, Yuval Peres
Proceedings of The 32nd International Conference on Machine Learning | July 2015
On the Impossibility of Convex Inference in Human Computation
Nihar B. Shah, Denny Zhou
Proceedings of the 29th AAAI Conference on Artificial Intelligence | January 2015
Statistical Decision Making for Optimal Budget Allocation in Crowd Labeling
Xi Chen, Qihang Lin, Denny Zhou
Journal of Machine Learning Research | January 2015, Vol 16: pp. 1-46
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Spectral Methods Meet EM: A Provably Optimal Algorithm for Crowdsourcing
Yuchen Zhang, Xi Chen, Denny Zhou, Michael L. Jordan
December 2014
Aggregating Ordinal Labels from Crowds by Minimax Conditional Entropy
Denny Zhou, Qiang Liu, John Platt, Chris Meek
Proceedings of the 31st International Conference on Machine Learning (ICML) | June 2014
Proceedings of the 31st International Conference on Machine Learning (ICML)
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Optimistic Knowledge Gradient Policy for Optimal Budget Allocation in Crowdsourcing
Xi Chen, Qihang Lin, Denny Zhou
Proceedings of the 30th International Conference on Machine Learning (ICML) | June 2013
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Learning from the Wisdom of Crowds by Minimax Entropy
Denny Zhou, John C. Platt, Sumit Basu, Yi Mao
Advances in Neural Information Processing Systems (NIPS) | December 2012
Advances in Neural Information Processing Systems (NIPS)
Filtre par zone de recherche
-
Double or Nothing: Multiplicative Incentive Mechanisms for Crowdsourcing
Nihar B. Shah, Denny Zhou
Journal of Machine Learning Research | September 2016, Vol 17(165): pp. 1-52
Exact Exponent in Optimal Rates for Crowdsourcing
Chao Gao, Yu Lu, Denny Zhou
Proceedings of the 33rd International Conference on Machine Learning | June 2016
No Oops, You Won’t Do It Again: Mechanisms for Self-correction in Crowdsourcing
Nihar Shah, Denny Zhou
Proceedings of the 33rd International Conference on Machine Learning | June 2016
Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing
Yuchen Zhang, Xi Chen, Denny Zhou, Michael L. Jordan
Journal of Machine Learning Research | January 2016, Vol 17(102): pp. 1-44
Double or Nothing: Multiplicative Incentive Mechanisms for Crowdsourcing
Nihar Bhadresh Shah, Denny Zhou
Advances in Neural Information Processing Systems 28 (NIPS 2015) | December 2015
Approval Voting and Incentives in Crowdsourcing
Nihar Shah, Denny Zhou, Yuval Peres
Proceedings of The 32nd International Conference on Machine Learning | July 2015
On the Impossibility of Convex Inference in Human Computation
Nihar B. Shah, Denny Zhou
Proceedings of the 29th AAAI Conference on Artificial Intelligence | January 2015
Statistical Decision Making for Optimal Budget Allocation in Crowd Labeling
Xi Chen, Qihang Lin, Denny Zhou
Journal of Machine Learning Research | January 2015, Vol 16: pp. 1-46
Spectral Methods Meet EM: A Provably Optimal Algorithm for Crowdsourcing
Yuchen Zhang, Xi Chen, Denny Zhou, Michael L. Jordan
December 2014
Aggregating Ordinal Labels from Crowds by Minimax Conditional Entropy
Denny Zhou, Qiang Liu, John Platt, Chris Meek
Proceedings of the 31st International Conference on Machine Learning (ICML) | June 2014
Proceedings of the 31st International Conference on Machine Learning (ICML)
Optimistic Knowledge Gradient Policy for Optimal Budget Allocation in Crowdsourcing
Xi Chen, Qihang Lin, Denny Zhou
Proceedings of the 30th International Conference on Machine Learning (ICML) | June 2013
Learning from the Wisdom of Crowds by Minimax Entropy
Denny Zhou, John C. Platt, Sumit Basu, Yi Mao
Advances in Neural Information Processing Systems (NIPS) | December 2012
Advances in Neural Information Processing Systems (NIPS)
-
On the Impossibility of Convex Inference in Human Computation
Nihar B. Shah, Denny Zhou
Proceedings of the 29th AAAI Conference on Artificial Intelligence | January 2015
-
On the Impossibility of Convex Inference in Human Computation
Nihar B. Shah, Denny Zhou
Proceedings of the 29th AAAI Conference on Artificial Intelligence | January 2015
-
On the Impossibility of Convex Inference in Human Computation
Nihar B. Shah, Denny Zhou
Proceedings of the 29th AAAI Conference on Artificial Intelligence | January 2015
-
On the Impossibility of Convex Inference in Human Computation
Nihar B. Shah, Denny Zhou
Proceedings of the 29th AAAI Conference on Artificial Intelligence | January 2015
-
Double or Nothing: Multiplicative Incentive Mechanisms for Crowdsourcing
Nihar B. Shah, Denny Zhou
Journal of Machine Learning Research | September 2016, Vol 17(165): pp. 1-52
Publication Type
-
Exact Exponent in Optimal Rates for Crowdsourcing
Chao Gao, Yu Lu, Denny Zhou
Proceedings of the 33rd International Conference on Machine Learning | June 2016
No Oops, You Won’t Do It Again: Mechanisms for Self-correction in Crowdsourcing
Nihar Shah, Denny Zhou
Proceedings of the 33rd International Conference on Machine Learning | June 2016
Double or Nothing: Multiplicative Incentive Mechanisms for Crowdsourcing
Nihar Bhadresh Shah, Denny Zhou
Advances in Neural Information Processing Systems 28 (NIPS 2015) | December 2015
Approval Voting and Incentives in Crowdsourcing
Nihar Shah, Denny Zhou, Yuval Peres
Proceedings of The 32nd International Conference on Machine Learning | July 2015
On the Impossibility of Convex Inference in Human Computation
Nihar B. Shah, Denny Zhou
Proceedings of the 29th AAAI Conference on Artificial Intelligence | January 2015
Spectral Methods Meet EM: A Provably Optimal Algorithm for Crowdsourcing
Yuchen Zhang, Xi Chen, Denny Zhou, Michael L. Jordan
December 2014
Aggregating Ordinal Labels from Crowds by Minimax Conditional Entropy
Denny Zhou, Qiang Liu, John Platt, Chris Meek
Proceedings of the 31st International Conference on Machine Learning (ICML) | June 2014
Proceedings of the 31st International Conference on Machine Learning (ICML)
Optimistic Knowledge Gradient Policy for Optimal Budget Allocation in Crowdsourcing
Xi Chen, Qihang Lin, Denny Zhou
Proceedings of the 30th International Conference on Machine Learning (ICML) | June 2013
Learning from the Wisdom of Crowds by Minimax Entropy
Denny Zhou, John C. Platt, Sumit Basu, Yi Mao
Advances in Neural Information Processing Systems (NIPS) | December 2012
Advances in Neural Information Processing Systems (NIPS)
-
Double or Nothing: Multiplicative Incentive Mechanisms for Crowdsourcing
Nihar B. Shah, Denny Zhou
Journal of Machine Learning Research | September 2016, Vol 17(165): pp. 1-52
Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing
Yuchen Zhang, Xi Chen, Denny Zhou, Michael L. Jordan
Journal of Machine Learning Research | January 2016, Vol 17(102): pp. 1-44
Statistical Decision Making for Optimal Budget Allocation in Crowd Labeling
Xi Chen, Qihang Lin, Denny Zhou
Journal of Machine Learning Research | January 2015, Vol 16: pp. 1-46
Personne
John Platt
Principal Scientist
Xi Chen
Intern
CMU
Nihar Shah
Intern
UC Berkeley
Qiang Liu
Visiting Scholar
Dartmouth
Chao Gao
Intern
Yale
Tengyu Ma
Visiting Scholar
Princeton