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2020 – today
- 2024
[j5]Lara Kassab, Alona Kryshchenko, Hanbaek Lyu, Denali Molitor, Deanna Needell, Elizaveta Rebrova, Jiahong Yuan:
Sparseness-constrained nonnegative tensor factorization for detecting topics at different time scales. Frontiers Appl. Math. Stat. 10 (2024)- [c4]Matt Barnes, Matthew Abueg, Oliver F. Lange, Matt Deeds, Jason Trader, Denali Molitor, Markus Wulfmeier, Shawn O'Banion:
Massively Scalable Inverse Reinforcement Learning in Google Maps. ICLR 2024 - 2023
- [j4]Dominic Yang
, Yurun Ge, Thien Nguyen, Denali Molitor, Jacob D. Moorman, Andrea L. Bertozzi:
Structural Equivalence in Subgraph Matching. IEEE Trans. Netw. Sci. Eng. 10(4): 1846-1862 (2023) - [i14]Dominic Yang, Yurun Ge, Thien Nguyen, Jacob D. Moorman, Denali Molitor, Andrea L. Bertozzi:
Structural Equivalence in Subgraph Matching. CoRR abs/2301.03161 (2023) - [i13]Tyler Will, Runyu Zhang, Eli Sadovnik, Mengdi Gao, Joshua Vendrow, Jamie Haddock, Denali Molitor, Deanna Needell:
Neural Nonnegative Matrix Factorization for Hierarchical Multilayer Topic Modeling. CoRR abs/2303.00058 (2023) - [i12]Matt Barnes, Matthew Abueg, Oliver F. Lange, Matt Deeds, Jason Trader, Denali Molitor, Markus Wulfmeier, Shawn O'Banion:
Massively Scalable Inverse Reinforcement Learning in Google Maps. CoRR abs/2305.11290 (2023) - 2022
- [i11]Zehan Chao, Denali Molitor, Deanna Needell, Mason A. Porter:
Inference of Media Bias and Content Quality Using Natural-Language Processing. CoRR abs/2212.00237 (2022) - 2021
- [j3]Robert M. Gower, Denali Molitor, Jacob D. Moorman, Deanna Needell:
On Adaptive Sketch-and-Project for Solving Linear Systems. SIAM J. Matrix Anal. Appl. 42(2): 954-989 (2021) - [i10]Ryan Budahazy, Lu Cheng, Yihuan Huang, Andrew Johnson, Pengyu Li, Joshua Vendrow, Zhoutong Wu, Denali Molitor, Elizaveta Rebrova, Deanna Needell:
Analysis of Legal Documents via Non-negative Matrix Factorization Methods. CoRR abs/2104.14028 (2021) - 2020
- [i9]Jacob D. Moorman, Thomas K. Tu, Denali Molitor, Deanna Needell:
Randomized Kaczmarz with Averaging. CoRR abs/2002.04126 (2020) - [i8]Anna Ma, Denali Molitor:
Randomized Kaczmarz for Tensor Linear Systems. CoRR abs/2006.01246 (2020) - [i7]Lara Kassab, Alona Kryshchenko, Hanbaek Lyu, Denali Molitor, Deanna Needell, Elizaveta Rebrova:
On Nonnegative Matrix and Tensor Decompositions for COVID-19 Twitter Dynamics. CoRR abs/2010.01600 (2020)
2010 – 2019
- 2019
- [j2]Denali Molitor, Deanna Needell:
Hierarchical Classification Using Binary Data. AI Mag. 40(2): 59-65 (2019) - [c3]Mengdi Gao, Jamie Haddock, Denali Molitor, Deanna Needell, Eli Sadovnik, Tyler Will, Runyu Zhang:
Neural Nonnegative Matrix Factorization for Hierarchical Multilayer Topic Modeling. CAMSAP 2019: 6-10 - [i6]Denali Molitor, Deanna Needell, Rachel A. Ward:
Bias of Homotopic Gradient Descent for the Hinge Loss. CoRR abs/1907.11746 (2019) - [i5]Robert M. Gower, Denali Molitor, Jacob D. Moorman, Deanna Needell:
Adaptive Sketch-and-Project Methods for Solving Linear Systems. CoRR abs/1909.03604 (2019) - 2018
- [c2]Denali Molitor, Deanna Needell:
Matrix Completion for Structured Observations. ITA 2018: 1-5 - [c1]Gregory Plumb, Denali Molitor, Ameet Talwalkar:
Model Agnostic Supervised Local Explanations. NeurIPS 2018: 2520-2529 - [i4]Denali Molitor, Deanna Needell:
Matrix Completion for Structured Observations. CoRR abs/1801.09657 (2018) - [i3]Gregory Plumb, Denali Molitor, Ameet Talwalkar:
Supervised Local Modeling for Interpretability. CoRR abs/1807.02910 (2018) - [i2]Denali Molitor, Deanna Needell:
Hierarchical Classification using Binary Data. CoRR abs/1807.08825 (2018) - [i1]Denali Molitor, Deanna Needell:
An iterative method for classification of binary data. CoRR abs/1809.03041 (2018) - 2015
- [j1]Denali Molitor, Mike A. Steel, Amelia Taylor:
The structure of symmetric n-player games when influence and independence collide. Adv. Appl. Math. 62: 15-40 (2015)
Coauthor Index
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