| Unique end of potential line J Fearnley, S Gordon, R Mehta, R Savani Journal of Computer and System Sciences 114, 1-35, 2020 | 64 | 2020 |
| Source identification for mixtures of product distributions S Gordon, BH Mazaheri, Y Rabani, L Schulman Conference on Learning Theory, 2193-2216, 2021 | 18 | 2021 |
| CLS: new problems and completeness J Fearnley, S Gordon, R Mehta, R Savani arXiv preprint arXiv:1702.06017, 2017 | 16 | 2017 |
| Hadamard extensions and the identification of mixtures of product distributions SL Gordon, LJ Schulman IEEE Transactions on Information Theory 68 (6), 4085-4089, 2022 | 11 | 2022 |
| 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 | 10 | 2017 |
| The sparse hausdorff moment problem, with application to topic models S Gordon, B Mazaheri, LJ Schulman, Y Rabani arXiv preprint arXiv:2007.08101, 2020 | 8 | 2020 |
| 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 | 6 | 2023 |
| End of potential line J Fearnley, S Gordon, R Mehta, R Savani arXiv preprint arXiv:1804.03450, 2018 | 6 | 2018 |
| Identifying mixtures of Bayesian network distributions SL Gordon, B Mazaheri, Y Rabani, LJ Schulman CoRR, 2021 | 5 | 2021 |
| Identification of mixtures of discrete product distributions in near-optimal sample and time complexity SL Gordon, E Jahn, B Mazaheri, Y Rabani, LJ Schulman The Thirty Seventh Annual Conference on Learning Theory, 2071-2091, 2024 | 4 | 2024 |
| Identifiability of Product of Experts Models M Kant, EY Ma, A Staicu, LJ Schulman, S Gordon International Conference on Artificial Intelligence and Statistics, 4492-4500, 2024 | 2 | 2024 |
| Condition number bounds for causal inference SL Gordon, VM Kumar, LJ Schulman, P Srivastava Uncertainty in Artificial Intelligence, 1948-1957, 2021 | 2 | 2021 |
| Causal Discovery under Latent Class Confounding B Mazaheri, S Gordon, Y Rabani, L Schulman arXiv preprint arXiv:2311.07454, 2023 | 1 | 2023 |
| Identifiability of product of experts models SL Gordon, M Kant, E Ma, LJ Schulman, A Staicu arXiv preprint arXiv:2310.09397, 2023 | 1 | 2023 |
| Monotone Contractions E Batziou, J Fearnley, S Gordon, R Mehta, R Savani arXiv preprint arXiv:2411.10107, 2024 | | 2024 |
| 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 |
| 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 |
John FearnleyUniversity of LiverpoolVerified email at liverpool.ac.uk
