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Spencer Gordon
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2020 – today
- 2024
- [c8]Manav Kant, Eric Y. Ma, Andrei Staicu, Leonard J. Schulman, Spencer Gordon:
Identifiability of Product of Experts Models. AISTATS 2024: 4492-4500 - [c7]Spencer L. Gordon, Erik Jahn, Bijan Mazaheri, Yuval Rabani, Leonard J. Schulman:
Identification of mixtures of discrete product distributions in near-optimal sample and time complexity. COLT 2024: 2071-2091 - [c6]Michaela Borzechowski, John Fearnley, Spencer Gordon, Rahul Savani, Patrick Schnider, Simon Weber:
Two Choices Are Enough for P-LCPs, USOs, and Colorful Tangents. ICALP 2024: 32:1-32:18 - [i13]Michaela Borzechowski, John Fearnley, Spencer Gordon, Rahul Savani, Patrick Schnider, Simon Weber:
Two Choices are Enough for P-LCPs, USOs, and Colorful Tangents. CoRR abs/2402.07683 (2024) - [i12]Eleni Batziou, John Fearnley, Spencer Gordon, Ruta Mehta, Rahul Savani:
Monotone Contractions. CoRR abs/2411.10107 (2024) - 2023
- [b1]Spencer Gordon:
The Identification of Discrete Mixture Models. California Institute of Technology, USA, 2023 - [c5]Spencer L. Gordon, Bijan Mazaheri, Yuval Rabani, Leonard J. Schulman:
Causal Inference Despite Limited Global Confounding via Mixture Models. CLeaR 2023: 574-601 - [i11]Spencer L. Gordon, Erik Jahn, Bijan Mazaheri, Yuval Rabani, Leonard J. Schulman:
Identification of Mixtures of Discrete Product Distributions in Near-Optimal Sample and Time Complexity. CoRR abs/2309.13993 (2023) - [i10]Spencer L. Gordon, Manav Kant, Eric Y. Ma, Leonard J. Schulman, Andrei Staicu:
Identifiability of Product of Experts Models. CoRR abs/2310.09397 (2023) - [i9]Bijan Mazaheri, Spencer Gordon, Yuval Rabani, Leonard J. Schulman:
Causal Discovery under Latent Class Confounding. CoRR abs/2311.07454 (2023) - 2022
- [j2]Spencer L. Gordon, Leonard J. Schulman:
Hadamard Extensions and the Identification of Mixtures of Product Distributions. IEEE Trans. Inf. Theory 68(6): 4085-4089 (2022) - 2021
- [c4]Spencer Gordon, Bijan H. Mazaheri, Yuval Rabani, Leonard J. Schulman:
Source Identification for Mixtures of Product Distributions. COLT 2021: 2193-2216 - [c3]Spencer L. Gordon, Vinayak M. Kumar, Leonard J. Schulman, Piyush Srivastava:
Condition number bounds for causal inference. UAI 2021: 1948-1957 - [i8]Spencer L. Gordon, Leonard J. Schulman:
Hadamard Powers and the Identification of Mixtures of Products. CoRR abs/2101.11688 (2021) - [i7]Spencer Gordon, Kevin Shu:
On the computational equivalence of co-NP refutations of a matrix being a P-matrix. CoRR abs/2110.05644 (2021) - [i6]Spencer L. Gordon, Bijan Mazaheri, Yuval Rabani, Leonard J. Schulman:
Identifying Mixtures of Bayesian Network Distributions. CoRR abs/2112.11602 (2021) - 2020
- [j1]John Fearnley, Spencer Gordon, Ruta Mehta, Rahul Savani:
Unique end of potential line. J. Comput. Syst. Sci. 114: 1-35 (2020) - [i5]Spencer Gordon, Bijan Mazaheri, Leonard J. Schulman, Yuval Rabani:
The Sparse Hausdorff Moment Problem, with Application to Topic Models. CoRR abs/2007.08101 (2020) - [i4]Spencer L. Gordon, Bijan Mazaheri, Yuval Rabani, Leonard J. Schulman:
Source Identification for Mixtures of Product Distributions. CoRR abs/2012.14540 (2020)
2010 – 2019
- 2019
- [c2]John Fearnley, Spencer Gordon, Ruta Mehta, Rahul Savani:
Unique End of Potential Line. ICALP 2019: 56:1-56:15 - 2018
- [i3]John Fearnley, Spencer Gordon, Ruta Mehta, Rahul Savani:
End of Potential Line. CoRR abs/1804.03450 (2018) - [i2]John Fearnley, Spencer Gordon, Ruta Mehta, Rahul Savani:
Unique End of Potential Line. CoRR abs/1811.03841 (2018) - 2017
- [c1]Vijay Bhattiprolu, Spencer Gordon, Mahesh Viswanathan:
Extending Parikh's Theorem to Weighted and Probabilistic Context-Free Grammars. QEST 2017: 3-19 - [i1]John Fearnley, Spencer Gordon, Ruta Mehta, Rahul Savani:
CLS: New Problems and Completeness. CoRR abs/1702.06017 (2017)
Coauthor Index
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