From Machine Translation to Code-Switching: Generating High-Quality Code-Switched Text. - Ishan Tarunesh; Syamantak Kumar; Preethi Jyothi (ACL/IJCNLP (1), 2021)

Streaming PCA for Markovian Data. - Syamantak Kumar; Purnamrita Sarkar (NeurIPS, 2023)

Black-Box k-to-1-PCA Reductions: Theory and Applications. - Arun Jambulapati; Syamantak Kumar; Jerry Li 001; Shourya Pandey; Ankit Pensia; Kevin Tian (COLT, 2024)

Nonparametric Evaluation of Noisy ICA Solutions. - Syamantak Kumar; Derek Bean; Peter J. Bickel; Purnamrita Sarkar (NeurIPS, 2024)

Oja's Algorithm for Streaming Sparse PCA. - Syamantak Kumar; Purnamrita Sarkar (NeurIPS, 2024)

Keep or toss? A nonparametric score to evaluate solutions for noisy ICA. - Syamantak Kumar; Purnamrita Sarkar; Peter J. Bickel; Derek Bean (CoRR, 2024)

Thresholded Oja does Sparse PCA? - Syamantak Kumar; Purnamrita Sarkar (CoRR, 2024)

Beyond Sin-Squared Error: Linear Time Entrywise Uncertainty Quantification for Streaming PCA. - Syamantak Kumar; Shourya Pandey; Purnamrita Sarkar (UAI, 2025)

Dimension-free Score Matching and Time Bootstrapping for Diffusion Models. - Syamantak Kumar; Dheeraj Nagaraj; Purnamrita Sarkar (CoRR, 2025)

Spike-and-Slab Posterior Sampling in High Dimensions. - Syamantak Kumar; Purnamrita Sarkar; Kevin Tian; Yusong Zhu (CoRR, 2025)

Private Geometric Median in Nearly-Linear Time. - Syamantak Kumar; Daogao Liu; Kevin Tian; Chutong Yang (CoRR, 2025)