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Spencer Gordon
Spencer Gordon
Postdoc, University of Liverpool
Verified email at caltech.edu
Title
Cited by
Cited by
Year
Unique end of potential line
J Fearnley, S Gordon, R Mehta, R Savani
Journal of Computer and System Sciences 114, 1-35, 2020
562020
CLS: new problems and completeness
J Fearnley, S Gordon, R Mehta, R Savani
arXiv preprint arXiv:1702.06017, 2017
152017
Source identification for mixtures of product distributions
S Gordon, BH Mazaheri, Y Rabani, L Schulman
Conference on Learning Theory, 2193-2216, 2021
132021
Extending Parikh’s theorem to weighted and probabilistic context-free grammars
V Bhattiprolu, S Gordon, M Viswanathan
Quantitative Evaluation of Systems: 14th International Conference, QEST 2017 …, 2017
92017
Hadamard extensions and the identification of mixtures of product distributions
SL Gordon, LJ Schulman
IEEE Transactions on Information Theory 68 (6), 4085-4089, 2022
62022
The sparse hausdorff moment problem, with application to topic models
S Gordon, B Mazaheri, LJ Schulman, Y Rabani
arXiv preprint arXiv:2007.08101, 2020
62020
End of potential line
J Fearnley, S Gordon, R Mehta, R Savani
arXiv preprint arXiv:1804.03450, 2018
62018
Identifying mixtures of Bayesian network distributions
SL Gordon, B Mazaheri, Y Rabani, LJ Schulman
arXiv preprint arXiv:2112.11602, 2021
42021
Causal Inference Despite Limited Global Confounding via Mixture Models
SL Gordon, B Mazaheri, Y Rabani, L Schulman
Conference on Causal Learning and Reasoning, 574-601, 2023
22023
Condition number bounds for causal inference
SL Gordon, VM Kumar, LJ Schulman, P Srivastava
Uncertainty in Artificial Intelligence, 1948-1957, 2021
22021
Identifiability of product of experts models
SL Gordon, M Kant, E Ma, LJ Schulman, A Staicu
arXiv preprint arXiv:2310.09397, 2023
12023
Identification of Mixtures of Discrete Product Distributions in Near-Optimal Sample and Time Complexity
SL Gordon, E Jahn, B Mazaheri, Y Rabani, LJ Schulman
arXiv preprint arXiv:2309.13993, 2023
12023
Two Choices are Enough for P-LCPs, USOs, and Colorful Tangents
M Borzechowski, J Fearnley, S Gordon, R Savani, P Schnider, S Weber
arXiv preprint arXiv:2402.07683, 2024
2024
Causal Discovery under Latent Class Confounding
B Mazaheri, S Gordon, Y Rabani, L Schulman
arXiv preprint arXiv:2311.07454, 2023
2023
The Identification of Discrete Mixture Models
SL Gordon
California Institute of Technology, 2023
2023
On the computational equivalence of co-NP refutations of a matrix being a P-matrix
S Gordon, K Shu
arXiv preprint arXiv:2110.05644, 2021
2021
Hadamard Powers and the Identification of Mixtures of Products.
SL Gordon, LJ Schulman
CoRR, 2021
2021
The complexity of continuous local search
SL Gordon
University of Illinois at Urbana-Champaign, 2017
2017
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Articles 1–18