M. H. Henzinger, S. Neumann, H. Räcke, and S. Schmid, “Dynamic maintenance of monotone dynamic programs and applications,” in 40th International Symposium on Theoretical Aspects of Computer Science, Hamburg, Germany, 2023, vol. 254.

G. Goranci and M. H. Henzinger, “Efficient data structures for incremental exact and approximate maximum flow,” in 50th International Colloquium on Automata, Languages, and Programming, Paderborn, Germany, 2023, vol. 261.

M. H. Henzinger, P. Liu, J. Vondrák, and D. W. Zheng, “Faster submodular maximization for several classes of matroids,” in 50th International Colloquium on Automata, Languages, and Programming, Paderborn, Germany, 2023, vol. 261.

H. Fichtenberger, M. H. Henzinger, and J. Upadhyay, “Constant matters: Fine-grained error bound on differentially private continual observation,” in Proceedings of the 40th International Conference on Machine Learning, Honolulu, Hawaii, HI, United States, 2023, vol. 202, pp. 10072–10092.

S. Bhattacharya, M. H. Henzinger, D. Nanongkai, and X. Wu, “Deterministic near-optimal approximation algorithms for dynamic set cover,” SIAM Journal on Computing, vol. 52, no. 5. Society for Industrial and Applied Mathematics, pp. 1132–1192, 2023.

V. Cohen-Addad, D. Saulpic, and C. Schwiegelshohn, “Deterministic clustering in high dimensional spaces: Sketches and approximation,” in 2023 IEEE 64th Annual Symposium on Foundations of Computer Science, Santa Cruz, CA, United States, 2023, pp. 1105–1130.

M. H. Henzinger, B. Jin, R. Peng, and D. P. Williamson, “A combinatorial cut-toggling algorithm for solving Laplacian linear systems,” Algorithmica, vol. 85. Springer Nature, pp. 2680–3716, 2023.

D. W. Zheng and M. H. Henzinger, “Multiplicative auction algorithm for approximate maximum weight bipartite matching,” in International Conference on Integer Programming and Combinatorial Optimization, Madison, WI, United States, 2023, vol. 13904, pp. 453–465.

M. Charikar, L. Hu, M. H. Henzinger, M. Vötsch, and E. Waingarten, “Simple, scalable and effective clustering via one-dimensional projections,” in 37th Conference on Neural Information Processing Systems, New Orleans, LA, United States, 2023, vol. 36.