Learning Gaussian Graphical Models via Multiplicative Weights. - Anamay Chaturvedi; Jonathan Scarlett (AISTATS, 2020)

Differentially private k-means clustering via exponential mechanism and max cover. - Anamay Chaturvedi; Huy L. Nguyen; Eric Z. Xu (CoRR, 2020)

Differentially Private Decomposable Submodular Maximization. - Anamay Chaturvedi; Huy Le Nguyen; Lydia Zakynthinou (AAAI, 2021)

Differentially Private k-Means via Exponential Mechanism and Max Cover. - Huy L. Nguyen; Anamay Chaturvedi; Eric Z. Xu (AAAI, 2021)

Locally Private k-Means Clustering with Constant Multiplicative Approximation and Near-Optimal Additive Error. - Anamay Chaturvedi; Matthew Jones; Huy Le Nguyen (AAAI, 2022)

Universal 1-Bit Compressive Sensing for Bounded Dynamic Range Signals. - Sidhant Bansal; Arnab Bhattacharyya 001; Anamay Chaturvedi; Jonathan Scarlett (ISIT, 2022)

Improved Learning-augmented Algorithms for k-means and k-medians Clustering. - Thy Dinh Nguyen; Anamay Chaturvedi; Huy L. Nguyen (ICLR, 2023)

Streaming Submodular Maximization with Differential Privacy. - Anamay Chaturvedi; Huy L. Nguyen; Thy Dinh Nguyen (ICML, 2023)

Bounded Space Differentially Private Quantiles. - Daniel Alabi; Omri Ben-Eliezer; Anamay Chaturvedi (Trans. Mach. Learn. Res., 2023)