I am an assistant professor at Bocconi University in Milan.
Before, I was a postdoc at CWI and EPFL.
I did my PhD student at
TU Eindhoven, my advisor was
Nikhil Bansal.
Until 2014, I studied at
Charles University in Prague and
my advisor was Jiří Matoušek.
Theory of algorithms, especially Online Algorithms and ML-augmented Algorithms.
Approximation Algorithms for Combinatorial Optimization with Predictions
with
Antonios Antoniadis,
Adam Polak,
and Moritz Venzin
Submitted to ICLR.
ArXiv
Stronger adversaries grow cheaper forests: online node-weighted Steiner problems
with
Sander Borst
and Moritz Venzin
Accepted to SODA'25.
ArXiv
Bandits with knapsacks with predictions
with
Davide Drago
and Andrea Celli
UAI 2024
Algorithms for Caching and MTS with reduced number of predictions
with
Karim Ahmed Abdel Sadek
ICLR 2024: arXiv
Learning-Augmented Algorithms with Explicit Predictors
with
Haim Kaplan,
Yishay Mansour,
and Shay Moran
accepted to NeurIPS 2024,
arXiv
Mixing predictions for online metric algorithms
with
Antonios Antoniadis,
Christian Coester,
Adam Polak,
and Bertrand Simon
ICML 2023:
proceedings,
arXiv
Paging with Succinct Predictions
with
Antonios Antoniadis,
Joan Boyar,
Lene M. Favrholdt,
Ruben Hoeksma,
Kim S. Larsen,
Adam Polak,
and Bertrand Simon
ICML 2023: proceedings,
arXiv
Learning-Augmented Dynamic Power Management with Multiple States via New Ski Rental Bounds
with
Antonios Antoniadis,
Christian Coester,
Adam Polak,
and Bertrand Simon
NeurIPS 2021: proceedings,
arXiv
Differentially Private Correlation Clustering
with
Mark Bun
and Janardhan Kulkarni
ICML 2021:
proceedings,
arXiv
Online metric algorithms with untrusted predictions
with
Antonios Antoniadis,
Christian Coester,
Adam Polak,
and Bertrand Simon
ICML 2020:
proceedings,
talk by Christian,
arXiv
ACM Transactions on Algorithms:
DOI
Differentially Private Release of Synthetic Graphs
with
Michael Kapralov,
Janardhan Kulkarni,
and Yin Tat Lee
SODA 2020: paper,
proceedings,
DOI,
slides
also presented at TPDP 2019: slides
Nested Convex Bodies are Chaseable
with
Nikhil Bansal,
Martin Böhm,
Grigorios Koumoutsos,
and Seeun William Umboh
Algorithmica:
arXiv,
DOI
SODA 2018:
proceedings,
DOI
Competitive Algorithms for Generalized k-Server in Uniform Metrics
with
Nikhil Bansal,
Grigorios Koumoutsos,
and Jesper Nederlof
ACM Transactions on Algorithms:
DOI
SODA 2018:
proceedings,
DOI,
arXiv,
slides
Weighted k-Server Bounds via Combinatorial Dichotomies
with Nikhil Bansal and Grigorios Koumoutsos
FOCS 2017:
proceedings,
DOI,
arXiv
The (h,k)-Server Problem on Bounded-Depth Trees
with
Nikhil Bansal,
Łukasz Jeż,
and Grigorios Koumoutsos
ACM Transactions on Algorithms:
DOI,
arXiv
SODA 2017:
proceedings,
DOI,
slides
Improved Approximation for Vector Bin Packing
with Nikhil Bansal and Arindam Khan
SODA 2016:
proceedings,
DOI
Tight bounds for Double Coverage against weak adversaries
with
Nikhil Bansal,
Łukasz Jeż,
Grigorios Koumoutsos,
and Kirk Pruhs
Theory of Computing Systems.
journal version,
DOI
WAOA 2015:
proceedings;
submitted version (including appendix)
Lower bounds on geometric Ramsey functions
with
Jiří Matoušek,
Edgardo Roldán-Pensado,
and Zuzana Safernová
SIAM J. Discrete Math:
arXiv,
DOI
SoCG 2014:
DOI
Higher-Order Erdős–Szekeres Theorems
with Jiří Matoušek
Advances in Mathematics:
arXiv,
DOI
SoCG 2012:
DOI