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Eric Neyman
Eric Neyman
Verified email at columbia.edu - Homepage
Title
Cited by
Cited by
Year
Binary scoring rules that incentivize precision
E Neyman, G Noarov, SM Weinberg
Proceedings of the 22nd ACM Conference on Economics and Computation, 718-733, 2021
212021
Settling the communication complexity of combinatorial auctions with two subadditive buyers
T Ezra, M Feldman, E Neyman, I Talgam-Cohen, M Weinberg
2019 IEEE 60th Annual Symposium on Foundations of Computer Science (FOCS …, 2019
142019
Are you smarter than a random expert? The robust aggregation of substitutable signals
E Neyman, T Roughgarden
Proceedings of the 23rd ACM Conference on Economics and Computation, 990-1012, 2022
102022
From proper scoring rules to max-min optimal forecast aggregation
E Neyman, T Roughgarden
Operations Research 71 (6), 2175-2195, 2023
92023
Agreement implies accuracy for substitutable signals
R Frongillo, E Neyman, B Waggoner
Proceedings of the 24th ACM Conference on Economics and Computation, 702-733, 2023
62023
No-regret learning with unbounded losses: The case of logarithmic pooling
E Neyman, T Roughgarden
Advances in Neural Information Processing Systems 36, 2024
52024
Formalizing the presumption of independence
P Christiano, E Neyman, M Xu
arXiv preprint arXiv:2211.06738, 2022
52022
Anomalous primes and the elliptic Korselt criterion
L Babinkostova, JC Bahr, YH Kim, E Neyman, GK Taylor
Journal of Number Theory 201, 108-123, 2019
42019
Strictly proper contract functions can be arbitrage-free
E Neyman, T Roughgarden
Proceedings of the AAAI Conference on Artificial Intelligence 36 (5), 5150-5155, 2022
12022
On orders of elliptic curves over finite fields
YH Kim, J Bahr, E Neyman, G Taylor
Rose-Hulman Undergraduate Mathematics Journal 19 (1), 2, 2018
12018
Algorithmic Bayesian Epistemology
E Neyman
arXiv preprint arXiv:2403.07949, 2024
2024
Characterizing Finite Fields With Anomalous Elliptic Curves
JC Bahr, YH Kim, GK Taylor, EM Neyman
2017
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