SCHWIEGELSHOHN, CHRIS RENE
SCHWIEGELSHOHN, CHRIS RENE
DIPARTIMENTO DI INGEGNERIA INFORMATICA, AUTOMATICA E GESTIONALE -ANTONIO RUBERTI-
(1 + ε)-approximate incremental matching in constant deterministic amortized time
2019 Grandoni, F.; Leonardi, S.; Sankowski, P.; Schwiegelshohn, C.; Solomon, S.
Algorithms for fair k-clustering with multiple protected attributes
2021 Bohm, M.; Fazzone, A.; Leonardi, S.; Menghini, C.; Schwiegelshohn, C.
Algorithms for fair team formation in online labour marketplaces
2019 Barnabo, G.; Leonardi, S.; Fazzone, A.; Schwiegelshohn, C.
BICO: BIRCH meets coresets for k-means clustering
2013 Fichtenberger, Hendrik; Gillé, Marc; Schmidt, Melanie; Schwiegelshohn, Chris; Sohler, Christian
Commitment and Slack for Online Load Maximization
2020 Jamalabadi, S.; Schwiegelshohn, C.; Schwiegelshohn, U.
Coresets-Methods and History: A Theoreticians Design Pattern for Approximation and Streaming Algorithms
2018 Munteanu, Alexander; Schwiegelshohn, Chris
Diameter and k-center in sliding windows
2016 Cohen-Addad, Vincent; Schwiegelshohn, Chris; Sohler, Christian
Fair Coresets and Streaming Algorithms for Fair k-means
2020 Schmidt, M.; Schwiegelshohn, C.; Sohler, C.
Fully Dynamic Consistent Facility Location
2019 Cohen-Addad, Vincent; Hjuler, Niklas Oskar D.; Parotsidis, Nikos; Saulpic, David; Schwiegelshohn, CHRIS RENE
Oblivious Dimension Reduction fork-Means:Beyond Subspaces and the Johnson-Lindenstrauss Lemma
2019 Becchetti, Luca; Bury, Marc; Cohen-Addad, Vincent; Grandoni, Fabrizio; Schwiegelshohn, CHRIS RENE
On coresets for logistic regression
2018 Munteanu, A.; Sohler, C.; Schwiegelshohn, C.; Woodruff, D. P.
On coresets for logistic regression
2019 Munteanu, A.; Schwiegelshohn, C.; Sohler, C.; Woodruff, D. P.
On finding the Jaccard center
2017 Bury, Marc; Schwiegelshohn, CHRIS RENE
On Generalization Bounds for Projective Clustering
2024 Bucarelli, MARIA SOFIA; Larsen, Matilde; Schwiegelshohn, Chris; Toftrup, Mads
On the local structure of stable clustering instances
2017 Cohen-Addad, Vincent; Schwiegelshohn, Chris
PEPPA: a project for evolutionary predator prey algorithms
2009 Blom, Hendrik; Küch, Christiane; Losemann, Katja; Schwiegelshohn, Chris
Polynomial Time Approximation Schemes for All 1-Center Problems on Metric Rational Set Similarities
2021 Bury, M.; Gentili, M.; Schwiegelshohn, C.; Sorella, M.
Random Projection to Preserve Patient Privacy
2018 Anagnostopoulos, A.; Angeletti, F.; Arcangeli, F.; Schwiegelshohn, C.; Vitaletti, A.
Random Projection to Preserve Patient Privacy
2018 Anagnostopoulos, A.; Angeletti, F.; Arcangeli, F.; Schwiegelshohn, C.; Vitaletti, A.
Random projection to preserve patient privacy
2019 Anagnostopoulos, A.; Angeletti, F.; Arcangeli, F.; Schwiegelshohn, C.; Vitaletti, A.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| (1 + ε)-approximate incremental matching in constant deterministic amortized time | 2019 | Grandoni, F.; Leonardi, S.; Sankowski, P.; Schwiegelshohn, C.; Solomon, S. | |
| Algorithms for fair k-clustering with multiple protected attributes | 2021 | Bohm, M.; Fazzone, A.; Leonardi, S.; Menghini, C.; Schwiegelshohn, C. | |
| Algorithms for fair team formation in online labour marketplaces | 2019 | Barnabo, G.; Leonardi, S.; Fazzone, A.; Schwiegelshohn, C. | |
| BICO: BIRCH meets coresets for k-means clustering | 2013 | Fichtenberger, Hendrik; Gillé, Marc; Schmidt, Melanie; Schwiegelshohn, Chris; Sohler, Christian | |
| Commitment and Slack for Online Load Maximization | 2020 | Jamalabadi, S.; Schwiegelshohn, C.; Schwiegelshohn, U. | |
| Coresets-Methods and History: A Theoreticians Design Pattern for Approximation and Streaming Algorithms | 2018 | Munteanu, Alexander; Schwiegelshohn, Chris | |
| Diameter and k-center in sliding windows | 2016 | Cohen-Addad, Vincent; Schwiegelshohn, Chris; Sohler, Christian | |
| Fair Coresets and Streaming Algorithms for Fair k-means | 2020 | Schmidt, M.; Schwiegelshohn, C.; Sohler, C. | |
| Fully Dynamic Consistent Facility Location | 2019 | Cohen-Addad, Vincent; Hjuler, Niklas Oskar D.; Parotsidis, Nikos; Saulpic, David; Schwiegelshohn, CHRIS RENE | |
| Oblivious Dimension Reduction fork-Means:Beyond Subspaces and the Johnson-Lindenstrauss Lemma | 2019 | Becchetti, Luca; Bury, Marc; Cohen-Addad, Vincent; Grandoni, Fabrizio; Schwiegelshohn, CHRIS RENE | |
| On coresets for logistic regression | 2018 | Munteanu, A.; Sohler, C.; Schwiegelshohn, C.; Woodruff, D. P. | |
| On coresets for logistic regression | 2019 | Munteanu, A.; Schwiegelshohn, C.; Sohler, C.; Woodruff, D. P. | |
| On finding the Jaccard center | 2017 | Bury, Marc; Schwiegelshohn, CHRIS RENE | |
| On Generalization Bounds for Projective Clustering | 2024 | Bucarelli, MARIA SOFIA; Larsen, Matilde; Schwiegelshohn, Chris; Toftrup, Mads | |
| On the local structure of stable clustering instances | 2017 | Cohen-Addad, Vincent; Schwiegelshohn, Chris | |
| PEPPA: a project for evolutionary predator prey algorithms | 2009 | Blom, Hendrik; Küch, Christiane; Losemann, Katja; Schwiegelshohn, Chris | |
| Polynomial Time Approximation Schemes for All 1-Center Problems on Metric Rational Set Similarities | 2021 | Bury, M.; Gentili, M.; Schwiegelshohn, C.; Sorella, M. | |
| Random Projection to Preserve Patient Privacy | 2018 | Anagnostopoulos, A.; Angeletti, F.; Arcangeli, F.; Schwiegelshohn, C.; Vitaletti, A. | |
| Random Projection to Preserve Patient Privacy | 2018 | Anagnostopoulos, A.; Angeletti, F.; Arcangeli, F.; Schwiegelshohn, C.; Vitaletti, A. | |
| Random projection to preserve patient privacy | 2019 | Anagnostopoulos, A.; Angeletti, F.; Arcangeli, F.; Schwiegelshohn, C.; Vitaletti, A. |