Weighted Maximum Independent Set of Geometric Objects in Turnstile Streams. - Ainesh Bakshi; Nadiia Chepurko; David P. Woodruff (APPROX-RANDOM, 2020)

Testing Positive Semi-Definiteness via Random Submatrices. - Ainesh Bakshi; Nadiia Chepurko; Rajesh Jayaram (FOCS, 2020)

Robust and Sample Optimal Algorithms for PSD Low Rank Approximation. - Ainesh Bakshi; Nadiia Chepurko; David P. Woodruff (FOCS, 2020)

Quantum-Inspired Algorithms from Randomized Numerical Linear Algebra. - Nadiia Chepurko; Kenneth L. Clarkson; Lior Horesh; David P. Woodruff (CoRR, 2020)

ARDA: Automatic Relational Data Augmentation for Machine Learning. - Nadiia Chepurko; Ryan Marcus; Emanuel Zgraggen; Raul Castro Fernandez; Tim Kraska; David R. Karger (Proc. VLDB Endow., 2020)

Learning Program Representations for Food Images and Cooking Recipes. - Dim P. Papadopoulos; Enrique Mora; Nadiia Chepurko; Kuan Wei Huang; Ferda Ofli; Antonio Torralba 001 (CVPR, 2022)

Quantum-Inspired Algorithms from Randomized Numerical Linear Algebra. - Nadiia Chepurko; Kenneth L. Clarkson; Lior Horesh; Honghao Lin; David P. Woodruff (ICML, 2022)

Near-Optimal Algorithms for Linear Algebra in the Current Matrix Multiplication Time. - Nadiia Chepurko; Kenneth L. Clarkson; Praneeth Kacham; David P. Woodruff (SODA, 2022)