Fair Algorithms for Clustering. - Suman Kalyan Bera; Deeparnab Chakrabarty; Nicolas Flores; Maryam Negahbani (NeurIPS, 2019)

Fair Algorithms for Clustering. - Suman K. Bera 001; Deeparnab Chakrabarty; Maryam Negahbani (CoRR, 2019)

Generalized Center Problems with Outliers. - Deeparnab Chakrabarty; Maryam Negahbani (ACM Trans. Algorithms, 2019)

Revisiting Priority k-Center: Fairness and Outliers. - Tanvi Bajpai; Deeparnab Chakrabarty; Chandra Chekuri; Maryam Negahbani (ICALP, 2021)

Better Algorithms for Individually Fair k-Clustering. - Maryam Negahbani; Deeparnab Chakrabarty (NeurIPS, 2021)

Better Algorithms for Individually Fair k-Clustering. - Deeparnab Chakrabarty; Maryam Negahbani (CoRR, 2021)

Approximation Algorithms for Continuous Clustering and Facility Location Problems. - Deeparnab Chakrabarty; Maryam Negahbani; Ankita Sarkar (ESA, 2022)

Improved Approximation for Fair Correlation Clustering. - Sara Ahmadian; Maryam Negahbani (AISTATS, 2023)

Robust k-center with two types of radii. - Deeparnab Chakrabarty; Maryam Negahbani (Math. Program., 2023)