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Nadiia Chepurko
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2020 – today
- 2022
- [c6]Dim P. Papadopoulos, Enrique Mora, Nadiia Chepurko, Kuan Wei Huang, Ferda Ofli, Antonio Torralba:
Learning Program Representations for Food Images and Cooking Recipes. CVPR 2022: 16538-16548 - [c5]Nadiia Chepurko, Kenneth L. Clarkson, Lior Horesh, Honghao Lin, David P. Woodruff:
Quantum-Inspired Algorithms from Randomized Numerical Linear Algebra. ICML 2022: 3879-3900 - [c4]Nadiia Chepurko, Kenneth L. Clarkson, Praneeth Kacham, David P. Woodruff:
Near-Optimal Algorithms for Linear Algebra in the Current Matrix Multiplication Time. SODA 2022: 3043-3068 - [i7]Dim P. Papadopoulos, Enrique Mora, Nadiia Chepurko, Kuan Wei Huang, Ferda Ofli, Antonio Torralba:
Learning Program Representations for Food Images and Cooking Recipes. CoRR abs/2203.16071 (2022) - 2021
- [i6]Nadiia Chepurko, Kenneth L. Clarkson, Praneeth Kacham, David P. Woodruff:
Near-Optimal Algorithms for Linear Algebra in the Current Matrix Multiplication Time. CoRR abs/2107.08090 (2021) - 2020
- [j1]Nadiia Chepurko, Ryan Marcus, Emanuel Zgraggen, Raul Castro Fernandez, Tim Kraska, David R. Karger:
ARDA: Automatic Relational Data Augmentation for Machine Learning. Proc. VLDB Endow. 13(9): 1373-1387 (2020) - [c3]Ainesh Bakshi, Nadiia Chepurko, David P. Woodruff:
Weighted Maximum Independent Set of Geometric Objects in Turnstile Streams. APPROX-RANDOM 2020: 64:1-64:22 - [c2]Ainesh Bakshi, Nadiia Chepurko, David P. Woodruff:
Robust and Sample Optimal Algorithms for PSD Low Rank Approximation. FOCS 2020: 506-516 - [c1]Ainesh Bakshi, Nadiia Chepurko, Rajesh Jayaram:
Testing Positive Semi-Definiteness via Random Submatrices. FOCS 2020: 1191-1202 - [i5]Nadiia Chepurko, Ryan Marcus, Emanuel Zgraggen, Raul Castro Fernandez, Tim Kraska, David R. Karger:
ARDA: Automatic Relational Data Augmentation for Machine Learning. CoRR abs/2003.09758 (2020) - [i4]Ainesh Bakshi, Nadiia Chepurko, Rajesh Jayaram:
Testing Positive Semi-Definiteness via Random Submatrices. CoRR abs/2005.06441 (2020) - [i3]Nadiia Chepurko, Kenneth L. Clarkson, Lior Horesh, David P. Woodruff:
Quantum-Inspired Algorithms from Randomized Numerical Linear Algebra. CoRR abs/2011.04125 (2020)
2010 – 2019
- 2019
- [i2]Ainesh Bakshi, Nadiia Chepurko, David P. Woodruff:
Weighted Maximum Independent Set of Geometric Objects in Turnstile Streams. CoRR abs/1902.10328 (2019) - [i1]Ainesh Bakshi, Nadiia Chepurko, David P. Woodruff:
Robust and Sample Optimal Algorithms for PSD Low-Rank Approximation. CoRR abs/1912.04177 (2019)
Coauthor Index
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