Homepage of Carola Doerr (formerly Winzen)
- New project: Optimization Meets Systems Biology (Opt4SysBio), joint with
Benno Schwikowski from
Institut Pasteur.
The project is funded by
DIM RFSI.
- New preprint on IOHanalyzer available on arXiv at
https://arxiv.org/abs/2007.03953. IOHanalyzer is the performance assessment and visualization tool of IOHprofiler. It is available at CRAN, as web-based GUI, and on GitHub.
- First version of our survey Benchmarking in Optimization: Best Practice and Open Issues available on arXiv at
https://arxiv.org/abs/2007.03488. Feedback and contributions highly welcome!
- Co-Organizing a Lorentz Center Workshop on
Benchmarked: Optimization meets Machine Learning, with
Mike Preuss,
Marc Schoenauer,
Thomas Stützle, and
Joaquin Vanschoren.
The (electronic-only) kick-off workshop will happen November 9 - 13, 2020. The in-person workshop has been postponed to 2021/22.
- [Postponed to 2021] I will be teaching two lectures on
Complexity Theory for Black-Box Optimization Heuristics
at the
Caleidoscope Research school in computational complexity, June 15-19, 2020, Paris.
-
The Benchmarking Network brings together people interested in benchmarking iterative optimization heuristics. We are organizing workshops, tutorials, special sessions, etc. Sign up to our mailing list to stay informed!
-
We are organizing the
Open Optimization Competition 2020, joint effort of our
IOHprofiler
and Facebook's nevergrad teams
-
I have co-chaired the program committee of
PPSN 2020 (Leiden, The Netherlands, September 5-9, 2020)
together with
Michael Emmerich and
Heike Trautmann.
-
I serve on the editorial boards of
and on the Advisory Board of Springer's Natural Computing Series.
- Two recent tutorials:
- Two survey articles that cover most of my works on black-box complexity and parameter control:
- C. Doerr: Complexity Theory for Black-Box Optimization Heuristics (link to arXiv version)
- B. Doerr and C. Doerr: Theory of Parameter Control for Discrete Black-Box Optimization: Provable Performance Gains Through Dynamic Parameter Choices (link to arXiv version)
- Mathematical and empirical aspects of iterative optimization heuristics (aka randomized search heuristics) such as local search algorithms, evolutionary algorithms, and other black-box optimization techniques
At the moment, I am particularly interested in online algorithm configuration and different aspects of benchmarking.
- Black-box complexity, aka randomized query complexity
- Randomized and quasi-randomized algorithms in general
- Geometric discrepancies, in particular computational aspects of the star discrepancy
A complete list of publications can be found here.
My
Google scholar profile and the
dblp entry are more or less complete (as far as dblp is complete, note that it does not list some of the works on discrepancies nor some of the book chapters).
For all other data bases, please note that they are usually incomplete because of the change of my family name in 2012.
Courses:
- Winter 2019/20:
Lecture on Solving Optimization Problems with Search Heuristics,
MPRI (Parisian Master of Computer Science) course 2.24.2,
together with Christoph Dürr.
- Winter 2018/19:
Lecture on Solving Optimization Problems with Search Heuristics,
MPRI (Parisian Master of Computer Science) course 2.24.2,
together with Christoph Dürr.
- Winter 2017/18:
Lecture on Solving Optimization Problems with Search Heuristics,
MPRI (Parisian Master of Computer Science) course 2.24.2,
together with Christoph Dürr.
- Winter 2016/17:
Lecture on Solving Optimization Problems with Search Heuristics,
MPRI (Parisian Master of Computer Science) course 2.24.2,
together with Christoph Dürr.
- Winter 2015/16:
Lecture on Solving Optimization Problems with Search Heuristics,
MPRI (Parisian Master of Computer Science) course 2.24.2,
together with Christoph Dürr.
- Summer Semester 2012:
Co-organizer of the lecture Basic Mathematical Techniques for Computer Scientists,
together with
Timo Kötzing,
Xavier Pèrez-Gimènez,
Chandan Saha,
Thomas Sauerwald,
Reto Spöhel, and
Jens Schmidt
- Summer Semester 2012:
Co-organizer of the seminar Reading Group in Algorithms,
together with Kurt Mehlhorn.
- Winter Semester 2011/12:
Co-organizer of the seminar Reading Group in Algorithms,
together with Kurt Mehlhorn.
- Summer Semester 2011:
Co-organizer of the seminar Reading Group in Algorithms,
together with Kurt Mehlhorn.
- Summer Semester 2010:
Teaching assistant for Algorithms and Randomization
held by Chinmoy Dutta, Nikolaos Fountoulakis, and Anna Huber.
- Winter Semester 2004 - Winter Semester 2006:
Teaching assistant for various courses held by the department for mathematics at Kiel University
PostDocs:
- Hao Wang (01/2020-08/2020, now Assistant professor at LIACS, Leiden University, NL)
PhD Students:
- Co-Advisor of PhD student Diederick Vermetten (Leiden University, 01/2020-).
Subject: Combined Algorithm Selection and Configuration
Co-supervising with with
Thomas Bäck
- Co-Advisor of PhD student Quentin Renau (02/2019-).
Subject: Artificial Intelligence for the Configuration of Sensor Networks
CIFRE thesis with Thales Research, co-supervised with
Johann Dreo and
Benjamin Doerr.
- Advisor of PhD student Anja Jankovic (10/2018-).
Subject: Online Algorithm Configuration
Funded by an EDITE scholarship.
- Co-Advisor of PhD student Furong Ye (10/2017-).
Subject: Discrete Optimization Benchmarking
PhD student at Leiden University, co-supervising with Thomas Bäck
- Co-Advisor of PhD student Jing Yang (10/2015-09/2018).
Title of her PhD thesis: From a Complexity Theory of Evolutionary Computation to Superior Randomized Search Heuristics
PhD student at Ecole Polytechnique, co-supervised with Benjamin Doerr.
Bachelor/Master Students and PhD interns:
- Co-Advisor of Master student Dominik Schröder (Leiden University, 07/2020-04/2021).
Title of the project: Dynamic algorithm selection for continuous black-box optimization
(joint with Thomas Bäck and
Hao Wang)
- Co-Advisor of Master student Amine Aziz-Alaoui (ISAE-SUPAERO, summer 2020).
Title of the project: Automated Algorithm Design using Exploratory Landscape Analysis
(joint with Benjamin Doerr and
Johann Dreo)
- Advisor of Master student Andy Rabetafika (ISAE-SUPAERO, summer 2020).
Title of the project: Machine learning and discrepancy theory
(joint with Benjamin Doerr and
Johann Dreo)
- Advisor of Master student Raphaël Cosson (MPRI, Paris Diderot Univ., summer 2019).
Title of the project: Online Configuration of Heuristic Optimization Algorithms
- Co-Advisor of Master student Vincent Aubry (MPRI, ENS, summer 2019).
Title of the project: Query Complexity of Mastermind
(joint with Benjamin Doerr)
- Co-Advisor of Master student Anissa Kheireddine (Sorbonne University, summer 2019).
Title of the project: Dynamic Algorithm Configuration for Interactive Learning
(joint with Thibaut Lust)
- Co-Advisor of Master student Diederick Vermetten (Leiden University, summer 2019).
Title of the project: Online Selection of CMA-ES Variants
(joint with Thomas Bäck)
- Advisor of student intern Nathan Buskulic (Sorbonne University, summer 2018).
Title of the project: Optimal Evolutionary Algorithms with Dynamic Parameters
- Co-Advisor of Master student Anja Jankovic (Sorbonne University, summer 2018).
Title of the project: Randomness in Scheduling
(joint with Fanny Pascual
and Nguyễn Kim Thắng)
- Advisor of Master student Eduardo Carvalho Pinto (MPRI, Ecole Polytechnique, summer 2017).
Title of the project: Self-Adjusting Parameter Choices for Discrete Black-Box Optimization
- Co-Advisor of Master student Jing Yang (Ecole Polytechnique, summer 2015).
Title of the project: Tight Bounds for the Unbiased Black-Box Complexity of OneMax
(joint with Benjamin Doerr)
- Co-Advisor of Master student Axel de Perthuis de Laillevault (Ecole Polytechnique, summer 2014).
Title of the project: Evolutionary Algorithms with Iterated Initial Sampling
(joint with Benjamin Doerr)
- Co-Advisor of the Master student Franziska Ebel (MPI, defended spring 2013).
Title of the thesis: Lessons from the Black-Box: Fast Crossover-Based Genetic Algorithms
(joint with Benjamin Doerr)
- Advisor of PhD student intern G. Ramakrishna (MPI, summer 2012).
Title of the project: Computing Minimum Cycle Bases in Graphs of Bounded Treewidth
- Advisor of Master student Vijay Ingalalli (MPI, defended autumn 2011).
Title of the thesis: Evolutionary Algorithms to Compute Lower Bounds for the Star Discrepancy
- Co-Advisor of student intern Jong-Hyun Lee (MPI, winter 2011/12).
Title of the project: Playing Mastermind with Constant Size Memory
(joint with Benjamin Doerr and Reto Spöhel)
-
Editorial board member of
- Member of the Advisory Board of Springer's Natural Computing Series.
-
Guest editor for two special issues in Algorithmica:
Vice-chair of
COST action 15140
on Improving Applicability of Nature-Inspired Optimisation by Joining Theory and Practice (ImAppNIO)
Program Chair for
(Co-)organizer of
- Lorentz Center Workshop on
Benchmarked: Optimization meets Machine Learning, with
Mike Preuss,
Marc Schoenauer,
Thomas Stützle, and
Joaquin Vanschoren, scheduled for November 9 - 13, 2020.
-
Open Optimization Competition 2020, joint effort of
our
IOHprofiler
and Facebook's nevergrad teams
- Benchmarking Best Practices Workshop at
GECCO 2020 and at
PPSN 2020, joint effort of our
Benchmarking Network
- Dagstuhl seminar 19431 on Theory of Randomized Optimization Heuristics, October 2019,
together with
Carlos M. Fonseca,
Tobias Friedrich,
Xin Yao
- Black Box Discrete Optimization Benchmarking (BB-DOB) Workshop at GECCO 2019, joint with
Pietro S. Oliveto,
Thomas Weise, and
Ales Zamuda
- Dagstuhl seminar 17191 on Theory of Randomized Optimization Heuristics, held in May 2017,
together with
Christian Igel,
Lothar Thiele, and
Xin Yao
- ImAppNIO COST Training School, held in Paris, October 2017, 7 days, 35 participants + 7 lecturers
- Women@GECCO workshop 2016
- Women@GECCO workshop 2015
- Women@GECCO workshop 2014
- Colloquium on Combinatorics KolKom 2010
Member of the
EC Technical Committee
of the
IEEE Computational Intelligence Society.
Late-Breaking Abstracts chair at GECCO 2019.
Tutorial Chair at PPSN 2016,
together with Nicolas Bredeche.
Tutorial Speaker at
- GECCO 2020 on Dynamic parameter choices in evolutionary computation, since this year joint with
Gregor Papa
- GECCO 2020 on Benchmarking and Analyzing Iterative Optimization Heuristics with IOHprofiler, with
Thomas Bäck,
Ofer M. Shir,
Hao Wang
- IEEE WCCI CEC 2020 on Benchmarking and Analyzing Iterative Optimization Heuristics with IOHprofiler, with
Thomas Bäck,
Ofer M. Shir,
Hao Wang
- IEEE WCCI CEC 2020 on Dynamic parameter choices in evolutionary computation, with
Gregor Papa
- GECCO 2019 on Dynamic parameter choices in evolutionary computation
- CEC 2019 on
benchmarking iterative optimization heuristics with IOHprofiler, with
Hao Wang and
Thomas Bäck
- PPSN 2018 on Dynamic parameter choices in evolutionary computation
- GECCO 2018 on Dynamic parameter choices in evolutionary computation
- GECCO 2017 on Non-Static parameter choices in evolutionary computation
- GECCO 2016 on Theory for Non-Theoreticians, with B. Doerr
- IEEE WCCI CEC 2016 on Theory for Non-Theoreticians, with B. Doerr
- GECCO 2014 on Black-box complexity: from complexity theory to playing Mastermind, with B. Doerr
- GECCO 2013 on Black-box complexity: from complexity theory to playing Mastermind, with B. Doerr
Invited speaker at
- Caleidoscope Research school in computational complexity, June 15-19, 2020, Paris, France
- GECCO 2017 Summer School, Berlin, Germany
- MENDEL International Conference on Soft Computing 2017, Brno, Czech Republic
- JGA 2016, Paris, France
- ALEA in Europe Meeting 2016, Munich, Germany
- Artificial Evolution Summer School 2013 in Quiberon, France
Program Committee Member
- COST action 15140
on Improving Applicability of Nature-Inspired Optimisation by Joining Theory and Practice (ImAppNIO)
(2016-2020, vice chair and member of STSM and ITC grants selection committee)
- DIM RFSI project Optimization Meets Systems Biology (Opt4SysBio), joint with
Benno Schwikowski from
Institut Pasteur.
(2020-2022, PI)
- Projet émergent of the Réseau Francilien en sciences informatiques
on Automated Algorithm Selection for Discrete Black-Box Optimization (AlgoSelect)
(2019-2021, PI)
- Projet émergent of the Réseau Francilien en sciences informatiques
on Online Configuration of Heuristic Optimization Algorithms
(2018-2019, PI)
- "`Projets de recherche conjoints"' (PRC CNRS/RFBR) project, joint with Benjamin Doerr, for collaboration with Arina Buzdalova and Maxim Buzdalov from ITMO University, Russia on Theoretical Foundation of Dynamic Parameter Selection for Randomized Optimization Heuristics
(2020-2022, French PI)
- Project of the LIP6 laboratory
on interactive multi-objective optimization
(2019, co-PI, together with Thibaut Lust)
- Projects funded by PGMO, Fondation Mathématique Jacques Hadamard (FMJH) and/or Labex Mathématique Hadamard (LMH):
- 2020: Understanding and Developing Evolutionary Algorithms via Mathematical Runtime Analyses (member)
- 2019: Passive Radar Coverage Optimization (member)
- 2018: Analysis of Evolutionary Algorithms: Beyond Expected Optimization Times (PI)
- 2017: Self-Adjusting Parameter Choices in Heuristic Optimization (PI)
- 2016: Parameter Optimization via Drift Analysis (PI)
- 2015: How Randomness Helps in Scheduling Problems (member)
- 2014: Towards a Complexity Theory for Black Box Optimization (PI)
- Feodor Lynen Research Fellowship for Postdoctoral Researchers of the Alexander von Humboldt foundation
(2012-2013, PostDoc grant, originally obtained for 2 years, but in 2013 I have been appointed the CNRS position)
- Google Europe Fellowship in Randomized Algorithms
(2010-2011, PhD grant (covered salary and travel expenses))
- 03/2020: 3 weeks, Tome Eftimov, Jožef Stefan Institute, Slovenia
- 02/2020: 1 month, Elena Raponi, University of Camerino, Italy
- 11/2019: 2 weeks, Markus Wagner, Adelaide, Australia
- 11/2019: 2 days, Hao Wang and Diederick Vermetten, LIACS, Leiden, The Netherlands
- 09/2019: Michael Gnewuch, Osnabrück, Germany
- 05/2019, 2 weeks: Frank Neumann, Adelaide, Australia
- 05/2019, 1 week: Aneta Neumann, Adelaide, Australia
- 02/2019, 1 week: Ofer M. Shir, Tel-Hai College and Migal-Galilee Research Institute, Israel
- 11/2018, 3 days: Diederick Vermetten, LIACS, Leiden, The Netherlands
- 11/2018, 1 week: Naama Horesh, Migal-Galilee Research Institute, Israel
- 11/2018, 1 day: Luca Mossina, ISAE-SUPAERO, Toulouse
- 11/2018, 1 day: Emmanuel Rachelson, ISAE-SUPAERO, Toulouse
- 11/2018, 1 week: Johannes Lengler, ETH Zurich, Switzerland
- 09/2018, 1 day: Arina Buzdalova and Maxim Buzdalov, ITMO University, St. Petersburg, Russia
- 09/2018, 1 week: Nguyen Dang, St. Andrews, UK
- 06/2018, 10 days: Markus Wagner, Adelaide, Australia
- 05/2018, 3 weeks: Frank Neumann, Adelaide, Australia. invited professor
- 05/2018, 1 week: Aneta Neumann, Adelaide, Australia
- Family Status: Married, two kids, born 04/2013 and 09/2015.
- Since October 2013:
CNRS researcher at the LIP6 laboratory,
Sorbonne University
(formerly Université Pierre et Marie Curie - Paris 6).
- October 2012 - September 2013:
Postdoctoral researcher at LIAFA (now IRIF), Paris Diderot University (Paris 7).
My stay was supported by a Feodor Lynen Research Fellowship for Postdoctoral Researchers (Humboldt foundation).
I have also been supported by the Robert Bosch Foundation, via their Fast Track program.
- January 2012 - September 2013 (part time from October 2012):
Postdoctoral researcher at the Max-Planck-Institut für Informatik
- January 2010 - December 2011:
Ph. D. student in Computer Science at the Universität des Saarlandes, Saarbrücken, Germany and the Max-Planck-Institut für Informatik
My Ph. D. studies were supported by the Google Europe Fellowship in Randomized Algorithms (click here for program details)
The thesis has been awarded the Otto Hahn Medal of the Max-Planck-Society.
The advisor of my thesis is Benjamin Doerr and the supervisor is Kurt Mehlhorn
- December 2007 - January 2012:
Consultant with McKinsey&Company, Inc., Munich. From December 2009 until January 2012, I was on educational leave and have worked for McKinsey only on an occasional basis.
- August 2007:
Diploma in Mathematics at the Christian-Albrechts-Universität (CAU) Kiel
Title of my diploma thesis: Approximative Berechnung der Sterndiskrepanz (advisor: Dr. Michael Gnewuch, supervisor: Prof. Dr. Anand Srivastav)
- July 2006 - October 2006:
Internship with Deutsche Lufthansa AG
- October 2003 - August 2007:
Studies of Mathematics (major subject), Business Administration (minor subject, Studienkolleg), Economics (Vordiplom, for fun), and Computer Science (for fun)
at the CAU Kiel
My studies were supported by a stipend of the Klaus Murmann Fellowship Programme of the Foundation of German Business/ Studienförderwerk Klaus Murmann der Stiftung der Deutschen Wirtschaft (SDW)
- July 2003:
Abitur at the Heinrich-Suso-Gymnasium, Konstanz
- August 2000 - July 2001:
AFS high school exchange student in Tobati, Paraguay.
Page last modified:
October 3, 2020.