Markov Decision Processes with Time-Varying Geometric Discounting. - Jiarui Gan; Annika Hennes; Rupak Majumdar; Debmalya Mandal; Goran Radanovic (AAAI, 2023)

Faster Query Times for Fully Dynamic k-Center Clustering with Outliers. - Leyla Biabani; Annika Hennes; Morteza Monemizadeh; Melanie Schmidt 001 (NeurIPS, 2023)

Approximating Fair k-Min-Sum-Radii in Euclidean Space. - Lukas Drexler; Annika Hennes; Abhiruk Lahiri; Melanie Schmidt 001; Julian Wargalla (WAOA, 2023)

Approximating Fair k-Min-Sum-Radii in Rd. - Lukas Drexler; Annika Hennes; Abhiruk Lahiri; Melanie Schmidt 001; Julian Wargalla (CoRR, 2023)

FPT Approximations for Fair k-Min-Sum-Radii. - Lena Carta; Lukas Drexler; Annika Hennes; Clemens Rösner; Melanie Schmidt 001 (ISAAC, 2024)

Improved Guarantees for Fully Dynamic k-Center Clustering with Outliers in General Metric Spaces. - Leyla Biabani; Annika Hennes; Denise La Gordt Dillie; Morteza Monemizadeh; Melanie Schmidt 001 (NeurIPS, 2024)

FPT Approximations for Fair k-Min-Sum-Radii. - Lena Carta; Lukas Drexler; Annika Hennes; Clemens Rösner; Melanie Schmidt 001 (CoRR, 2024)