Publications

Larsen, K. G., Simkin, M. & Yeo, K. (2020). Lower Bounds for Multi-server Oblivious RAMs. In R. Pass & K. Pietrzak (Eds.), Theory of Cryptography (pp. 486-503). Springer. Lecture Notes in Computer Science Vol. 12550 https://doi.org/10.1007/978-3-030-64375-1_17

Jacob, R., Larsen, K. G. & Nielsen, J. B. (2019). Lower Bounds for Oblivious Data Structures. In T. M. Chan (Ed.), Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete Algorithms (pp. 2439-2447). Society for Industrial and Applied Mathematics. Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete Algorithms Vol. PRDA19 https://doi.org/10.1137/1.9781611975482.149

Larsen, K. G., Malkin, T., Weinstein, O. & Yeo, K. (2020). Lower Bounds for Oblivious Near-Neighbor Search. In S. Chawla (Ed.), SODA '20: Proceedings of the Thirty-First Annual ACM-SIAM Symposium on Discrete Algorithms (pp. 1116-1134). Society for Industrial and Applied Mathematics. https://doi.org/10.5555/3381089.3381157

Farhadi, A., Hajiaghayi, M. T., Larsen, K. G. & Shi, E. (2019). Lower bounds for external memory integer sorting via network coding. In M. Charikar & E. Cohen (Eds.), STOC 2019 - Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing (pp. 997-1008). Association for Computing Machinery. A C M Symposium on the Theory of Computing. Annual Proceedings https://doi.org/10.1145/3313276.3316337

Afshani, P. & Cheng, P. (2021). Lower bounds for semialgebraic range searching and stabbing problems. In K. Buchin & E. C. de Verdiere (Eds.), 37th International Symposium on Computational Geometry, SoCG 2021 [8] Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing. Leibniz International Proceedings in Informatics, LIPIcs Vol. 189 https://doi.org/10.4230/LIPIcs.SoCG.2021.8

Grønlund, A., Kamma, L., Larsen, K. G., Mathiasen, A. & Nelson, J. (2019). Margin-Based Generalization Lower Bounds for Boosted Classifiers. In H. Wallach, H. Larochelle, A. Beygelzimer, F. d'Alché-Buc, E. Fox & R. Garnett (Eds.), Advances in Neural Information Processing Systems 32 (NIPS 2019) Neural Information Processing Systems Foundation. https://arxiv.org/abs/1909.12518

Grønlund, A., Kamma, L. & Larsen, K. G. (2020). Margins are Insufficient for Explaining Gradient Boosting. In H. Larochelle, MA. Ranzato, R. Hadsell, M-F. Balcan & H-T. Lin (Eds.), Advances in Neural Information Processing Systems 33 (NeurIPS 2020) https://proceedings.neurips.cc/paper/2020/hash/146f7dd4c91bc9d80cf4458ad6d6cd1b-Abstract.html

Larsen, K. G. & Walderveen, F. V. (2013). Near-Optimal Range Reporting Structures for Categorical. In Proceedings of the 24th Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2013 (pp. 265-276). Association for Computing Machinery. The Annual A C M - S I A M Symposium on Discrete Algorithms. Proceedings http://knowledgecenter.siam.org/0236-000081/~~PdfSource/0

Grønlund, A., Kamma, L. & Larsen, K. G. (2020). Near-Tight Margin-Based Generalization Bounds for Support Vector Machines. In H. Daumé III & A. Singh (Eds.), International Conference on Machine Learning (pp. 3779-3788). MLResearch Press. Proceedings of Machine Learning Research Vol. 119 http://proceedings.mlr.press/v119/gronlund20a.html

Alstrup, S., Bistrup Halvorsen, E. & Larsen, K. G. (2014). Near-optimal labeling schemes for nearest common ancestors. In Proceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms (pp. 972-982). Association for Computing Machinery. http://www.scopus.com/inward/record.url?scp=84902108771&partnerID=8YFLogxK

Clifford, R., Jørgensen, A. G. & Larsen, K. G. (2015). New Unconditional Hardness Results for Dynamic and Online Problems. In 56th IEEE Symposium on Foundations of Computer Science (FOCS) Proceedings - Annual IEEE Symposium on Foundations of Computer Science, FOCS IEEE Computer Society Press. http://arxiv.org/pdf/1504.01836v1.pdf

Afshani, P., de Berg, M., Buchin, K., Gao, J., Löffler, M., Nayyeri, A., Raichel, B., Sarkar, R., Wang, H. & Yang, H. T. (2022). On Cyclic Solutions to the Min-Max Latency Multi-Robot Patrolling Problem. In X. Goaoc & M. Kerber (Eds.), 38th International Symposium on Computational Geometry, SoCG 2022 [2] Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing. Leibniz International Proceedings in Informatics, LIPIcs Vol. 224 https://doi.org/10.4230/LIPIcs.SoCG.2022.2

Arge, L. A., Brodal, G. S. & Toma, L. (2000). On External-Memory MST, SSSP, and Multi-way Planar Graph Separation. In Algorithm Theory - SWAT 2000: 7th Scandinavian Workshop on Algorithm Theory Bergen, Norway, July 5-7, 2000 Proceedings (pp. 709-715). Springer. Lecture Notes in Computer Science Vol. 1851 https://doi.org/10.1007/3-540-44985-X_37

Larsen, K. G., Munro, J. I., Nielsen, J. A. S. & Thankachan, S. V. (2014). On Hardness of Several String Indexing Problems. In A. Kulikov, S. O. Kuznetsov & P. Pevzner (Eds.), Combinatorial Pattern Matching: 23rd European Symposium on Programming, ESOP 2014, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2014, Grenoble, France, April 5-13, 2014, Proceedings (pp. 242-251 ). Springer VS. Lecture Notes in Computer Science Vol. 8486 https://doi.org/10.1007/978-3-319-07566-2_25

Larsen, K. G. (2011). On Range Searching in the Group Model and Combinatorial Discrepancy. In 2011 IEEE 52nd Annual Symposium on Foundations of Computer Science (FOCS) (pp. 542-549). IEEE Computer Society Press. https://doi.org/10.1109/FOCS.2011.14

Afshani, P. & Cheng, P. (2022). On Semialgebraic Range Reporting. In X. Goaoc & M. Kerber (Eds.), 38th International Symposium on Computational Geometry, SoCG 2022 [3] Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing. Leibniz International Proceedings in Informatics, LIPIcs Vol. 224 https://doi.org/10.4230/LIPIcs.SoCG.2022.3

Freksen, C. B. & Larsen, K. G. (2017). On Using Toeplitz and Circulant Matrices for Johnson-Lindenstrauss Transforms. In O. Yoshio & T. Tokuyama (Eds.), 28th International Symposium on Algorithms and Computation (ISAAC 2017) (pp. 32:1-32:12). [32] Schloss Dagstuhl--Leibniz-Zentrum für Informatik. Leibniz International Proceedings in Informatics Vol. 92 https://doi.org/10.4230/LIPIcs.ISAAC.2017.32

Brodal, G. S., Fagerberg, R. & Moruz, G. (2005). On the Adaptiveness of Quicksort. In ALENEX05 (pp. 130-140). Society for Industrial and Applied Mathematics.

Holt, M. K., Johansen, J. & Brodal, G. S. (2014). On the Scalability of Computing Triplet and Quartet Distances. In C. C. McGeoch & U. Meyer (Eds.), 2014 Proceedings of the Sixteenth Workshop on Algorithm Engineering and Experiments (ALENEX) (pp. 9-19). Society for Industrial and Applied Mathematics. https://doi.org/10.1137/1.9781611973198.2

Larsen, K. G., Mitzenmacher, M. & Tsourakakis, C. E. (2020). Optimal Learning of Joint Alignments with a Faulty Oracle. In 2020 IEEE International Symposium on Information Theory, ISIT 2020 (pp. 2492-2497). IEEE. IEEE International Symposium on Information Theory - Proceedings Vol. 2020-June https://doi.org/10.1109/ISIT44484.2020.9174310

Grønlund, A., Larsen, K. G. & Mathiasen, A. (2019). Optimal Minimal Margin Maximization with Boosting. In K. Chaudhuri & R. Salakhutdinov (Eds.), Proceedings of th 36th International Conference on Machine Learning (Vol. 97, pp. 4392-4401). International Machine Learning Society (IMLS). Proceedings of Machine Learning Research Vol. 97 http://proceedings.mlr.press/v97/mathiasen19a/mathiasen19a.pdf

Brodal, G. S. & Larsen, K. G. (2014). Optimal Planar Orthogonal Skyline Counting Queries. In R. Ravi & I. L. Gørtz (Eds.), Algorithm Theory – SWAT 2014: 14th Scandinavian Symposium and Workshops, Denmark. Proceedings (pp. 110-121). Springer VS. Lecture Notes in Computer Science Vol. 8503 https://doi.org/10.1007/978-3-319-08404-6_10

Jørgensen, A. G., Brodal, G. S., Moruz, G., Mølhave, T., Fagerberg, R., Finocchi, I., Grandoni, F. & Italiano, G. F. (2007). Optimal Resilient Dynamic Dictionaries. In L. Arge, M. Hoffmann & E. Welzl (Eds.), Algorithms – ESA 2007: 15th Annual European Symposium, Eilat, Israel, October 8-10, 2007. Proceedings (pp. 347-358). Springer. Lecture Notes in Computer Science Vol. 4698 https://doi.org/10.1007/978-3-540-75520-3_32

Bender, M. A., Brodal, G. S., Fagerberg, R., Jacob, R. & Vicari, E. (2007). Optimal Sparse Matrix Dense Vector Multiplication in the I/O-Model. In SPAA 2007: Proceedings of the 19th Annual ACM Symposium on Parallel Algorithms and Architectures (pp. 61-70) https://doi.org/10.1145/1248377.1248391

Afshani, P. & Tsakalidis, K. (2014). Optimal deterministic shallow cuttings for 3D dominance ranges. In C. Chekuri (Ed.), Proceedings of the 25th Annual ACM-SIAM Symposium on Discrete Algorithms: SODA 2014; Portland, OR; United States; 5 January 2014 through 7 January 2014 (pp. 1389-1398 ). Association for Computing Machinery. http://www.scopus.com/inward/record.url?scp=84902105500&partnerID=8YFLogxK

Jafargholi, Z., Larsen, K. G. & Simkin, M. (2021). Optimal oblivious priority queues. In D. Marx (Ed.), ACM-SIAM Symposium on Discrete Algorithms, SODA 2021 (pp. 2366-2383). Association for Computing Machinery. Proceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms

Bartal, Y., Fandina, O. N. & Larsen, K. G. (2022). Optimality of the Johnson-Lindenstrauss Dimensionality Reduction for Practical Measures. In X. Goaoc & M. Kerber (Eds.), 38th International Symposium on Computational Geometry, SoCG 2022 [13] Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing. Leibniz International Proceedings in Informatics, LIPIcs Vol. 224 https://doi.org/10.4230/LIPIcs.SoCG.2022.13

Larsen, K. G. & Nelson, J. (2017). Optimality of the Johnson-Lindenstrauss Lemma. In 2017 IEEE 58th Annual Symposium on Foundations of Computer Science (FOCS) (pp. 633-638). [8104096] https://doi.org/10.1109/FOCS.2017.64

Afshani, P., Brodal, G. S. & Zeh, N. (2011). Ordered and Unordered Top-K Range Reporting in Large Data Sets. In Proceedings of the 22nd Annual ACM-SIAM Symposium on Discrete Algoritms. SODA 2011 (pp. 390-400). Society for Industrial and Applied Mathematics. http://www.siam.org/proceedings/soda/2011/SODA11_031_afshanip.pdf

Chan, T. M., Larsen, K. G. & Patrascu, M. (2011). Orthogonal Range Searching on the RAM, Revisited. In Proceedings of the 27th annual ACM symposium on Computational geometry (pp. 1-10). Association for Computing Machinery. https://doi.org/10.1145/1998196.1998198

Alstrup, S., Brodal, G. S. & Rauhe, T. (2000). Pattern matching in dynamic texts. In D. Shmoys (Ed.), Proceedings of the eleventh annual ACM-SIAM symposium on Discrete algorithms (pp. 819-828). Society for Industrial and Applied Mathematics.

Afshani, P. & Van Duijn, I. (2017). Permuting and batched geometric lower bounds in the I/O model. In K. Pruhs & C. Sohler (Eds.), 25th European Symposium on Algorithms, ESA 2017 (Vol. 87, pp. 2:1-2:13). [2] Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik GmbH. Leibniz International Proceedings in Informatics Vol. 87 https://doi.org/10.4230/LIPIcs.ESA.2017.2

Brodal, G. S. (1997). Predecessor queries in dynamic integer sets. In R. Reischuk & M. Morwan (Eds.), STACS 97: 14th Annual Symposium on Theoretical Aspects of Computer Science Lübeck, Germany February 27–March 1, 1997 Proceedings (pp. 21-32). Springer. Lecture Notes in Computer Science Vol. 1200 https://doi.org/10.1007/BFb0023445

Brodal, G. S. (2022). Priority Queues with Decreasing Keys. In P. Fraigniaud & Y. Uno (Eds.), 11th International Conference on Fun with Algorithms, FUN 2022 (pp. 8:1-8:19). Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing. Leibniz International Proceedings in Informatics, LIPIcs Vol. 226 https://doi.org/10.4230/LIPIcs.FUN.2022.8

Fleischhacker, N., Larsen, K. G. & Simkin, M. (2022). Property-Preserving Hash Functions for Hamming Distance from Standard Assumptions. In O. Dunkelman & S. Dziembowski (Eds.), Advances in Cryptology – EUROCRYPT 2022: 41st Annual International Conference on the Theory and Applications of Cryptographic Techniques, 2022, Proceedings (pp. 764-781). Springer. Lecture Notes in Computer Science (LNCS) Vol. 13276 https://doi.org/10.1007/978-3-031-07085-3_26

Brodal, G. S., Makris, C. & Tsichlas, K. (2006). Purely Functional Worst Case Constant Time Catenable Sorted Lists. In Y. Azar & T. Erlebach (Eds.), Algorithms – ESA 2006: 14th Annual European Symposium, Zurich, Switzerland, September 11-13, 2006. Proceedings (pp. 172-183). Springer. Lecture Notes in Computer Science Vol. 4168 https://doi.org/10.1007/11841036_18

Jørgensen, A. G. & Larsen, K. G. (2011). Range Selection and Median: Tight Cell Probe Lower Bounds and Adaptive Data Structures . In Proceedings of the 22nd Annual ACM-SIAM Symposium on Discrete Algorithms. SODA 2011 (pp. 805-813). Society for Industrial and Applied Mathematics. http://www.siam.org/proceedings/soda/2011/SODA11_062_jorgensena.pdf

Zardbani, F., Afshani, P. & Karras, P. (2020). Revisiting the theory and practice of database cracking. In A. Bonifati, Y. Zhou, M. A. Vaz Salles, A. Bohm, D. Olteanu, G. Fletcher, A. Khan & B. Yang (Eds.), Advances in Database Technology - EDBT 2020: 23rd International Conference on Extending Database Technology, Proceedings (pp. 415-418). openproceedings.org. Advances in Database Technology - EDBT Vol. 2020-March https://doi.org/10.5441/002/edbt.2020.46

Cohen-Addad, V., Epasto, A., Lattanzi, S., Mirrokni, V., Munoz Medina, A., Saulpic, D., Schwiegelshohn, C. & Vassilvitskii, S. (2022). Scalable Differentially Private Clustering via Hierarchically Separated Trees. In KDD 2022 - Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (pp. 221-230). Association for Computing Machinery, Inc. Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining https://doi.org/10.1145/3534678.3539409

Larsen, K. G. & Simkin, M. (2020). Secret sharing lower bound: Either reconstruction is hard or shares are long. In C. Galdi & V. Kolesnikov (Eds.), Security and Cryptography for Networks (pp. 566-578). Springer. Lecture Notes in Computer Science Vol. 12238 https://doi.org/10.1007/978-3-030-57990-6_28

Brodal, G. S. & Moruz, G. (2006). Skewed Binary Search Trees. In Y. Azar & T. Erlebach (Eds.), Algorithms – ESA 2006: 14th Annual European Symposium, Zurich, Switzerland, September 11-13, 2006. Proceedings (pp. 708-719). Springer. Lecture Notes in Computer Science Vol. 4168 https://doi.org/10.1007/11841036_63

Brodal, G. S., Lyngsø, R. B., Östlin, A. & Pedersen, C. N. S. (2002). Solving the String Statistics Problem in Time O(n log n). In P. Widmayer, S. Eidenbenz, F. Triguero, R. Morales, R. Conejo & M. Hennessy (Eds.), Automata, Languages and Programming: 29th International Colloquium, ICALP 2002 Málaga, Spain, July 8–13, 2002 Proceedings (pp. 728-739). Springer. Lecture Notes in Computer Science Vol. 2380 https://doi.org/10.1007/3-540-45465-9_62

Afshani, P. & Sitchinava , N. (2015). Sorting and Permuting without Bank Conflicts on GPUs. In N. Bansal & I. Finocchi (Eds.), Algorithms – ESA 2015: 23rd Annual European Symposium, Patras, Greece, September 14–16, 2015, Proceedings (pp. 13-24). Springer VS. Lecture Notes in Computer Science Vol. 9294 https://doi.org/10.1007/978-3-662-48350-3_2

Anagnostopoulos, A., Becchetti, L., Fazzone, A., Menghini, C. & Schwiegelshohn, C. (2020). Spectral Relaxations and Fair Densest Subgraphs. In CIKM 2020 - Proceedings of the 29th ACM International Conference on Information and Knowledge Management (pp. 35–44). Conference on Information and Knowledge Management https://doi.org/10.1145/3340531.3412036

Son, W. & Afshani, P. (2015). Streaming Algorithms for Smallest Intersecting Ball of Disjoint Balls. In R. Jain, S. Jain & F. Stephan (Eds.), Theory and Applications of Models of Computation: 12th Annual Conference, TAMC 2015, Singapore, May 18-20, 2015, Proceedings (pp. 189-199 ). Springer VS. Lecture Notes in Computer Science LNCS Vol. 9076 https://doi.org/10.1007/978-3-319-17142-5

Brodal, G. S., Lagogiannis, G. & Tarjan, R. E. (2012). Strict fibonacci heaps. In STOC '12 Proceedings of the 44th symposium on Theory of Computing (pp. 1177-1184 ). Association for Computing Machinery. https://doi.org/10.1145/2213977.2214082

Brodal, G. S., Nielsen, J. A. S. & Truelsen, J. (2015). Strictly Implicit Priority Queues: On the Number of Moves and Worst-Case Time. In F. Dehne, J-R. Sack & U. Stege (Eds.), Algorithms and Data Structures: 14th International Symposium, WADS 2015, Proceedings (pp. 91-102). Springer VS. Lecture Notes in Computer Science Vol. 9214 https://doi.org/10.1007/978-3-319-21840-3_8

Bringmann, K. & Larsen, K. G. (2013). Succinct Sampling from Discrete Distributions. In Proceedings of the 45th annual ACM Symposium on Theory of Computing, STOC '13 (pp. 775-782 ). Association for Computing Machinery. A C M Symposium on the Theory of Computing. Annual Proceedings https://doi.org/10.1145/2488608.2488707

Larsen, K. G. (2012). The Cell Probe Complexity of Dynamic Range Counting. In STOC’12 : Proceedings of the 44th symposium on Theory of Computing (pp. 85-94). Association for Computing Machinery. https://doi.org/10.1145/2213977.2213987

Westergaard, M., Kristensen, L. M., Brodal, G. S. & Arge, L. (2007). The ComBack Method - Extending Hash Compaction with Backtracking. In Petri Nets and Other Models of Concurrency – ICATPN 2007: 28th International Conference on Applications and Theory of Petri Nets and Other Models of Concurrency, ICATPN 2007, Siedlce, Poland, June 25-29, 2007. Proceedings (pp. 455-464). Springer. Lecture Notes in Computer Science Vol. 4546 https://doi.org/10.1007/978-3-540-73094-1_26

Displaying results 251 to 300 out of 340

Revised 17.04.2023

Department of Computer Science

Publications

Kasper Green Larsen

Peyman Afshani

Gerth Stølting Brodal

Chris Schwiegelshohn

Publications

Head of research

Kasper Green Larsen

Faculty

Peyman Afshani

Gerth Stølting Brodal

Chris Schwiegelshohn