Tutorials, workshops, ...
...
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Tutorials, Workshops,...
Tutorials and summer school lectures
- TRIPODS Winter School on Graph Learning and Deep Learning, MINDS Johns Hopkins University (Jan 2021): Graph Neural Networks
- Machine Learning Summer School (MLSS) London (July 2019): Submodularity and Machine Learning
-
NeurIPS
tutorial on
Negative dependence, stable polynomials and all that
(Dec 2018)
- Simons Institute,
Bridging Continuous and Discrete Optimization Bootcamp
: Continuous methods in discrete optimization (Aug 2017) (
Slides
|
video
)
-
Machine Learning Summer School (MLSS) Tuebingen
(June 2017) (
lecture slides
)
-
Simons Institute
, Machine Learning Bootcamp, (Jan 2017) (
lecture 1
|
lecture 2
)
- Machine Learning Summer School (MLSS)
Cadiz
(May 2016) (
lecture 1
|
lecture2
|
references
)
- Machine Learning Summer School (
MLSS
)
Kyoto
(Aug 2015) (
lecture 1
|
lecture2
|
lecture3
|
references
)
-
MSR India Summer School
on Machine Learning (Bangalore) (June 2015) (slides
part I
|
part II
|
literature list
)
-
CVPR
(June 2015, Boston) (slides
part I
|
part II
|
references
)
- MADALGO 2014 summer school on
Learning at Scale
(Aarhus)
- ICML 2013 (Atlanta):
Submodularity in ML - new directions
, with A. Krause
- DAGM 2012 (Graz):
Submodularity in machine learning and computer vision
, with A. Krause
- ECAI 2012 (Montpellier):
Submodularity in AI
, with A. Krause
Workshop organization
- NIPS Workshop on Discrete Optimization in Machine Learning
DISCML 2014
DISCML 2013
DISCML 2012
DISCML 2011
DISCML 2010
... and here are the
recorded workshop talks
.
- PC of the
New England Machine Learning Day 2015
(May 18, 2015)
-
ISMP
2015 session on Submodularity in Machine Learning - Theory and Practice
-
DALI
2016 workshop on Learning and Optimization (with Guillaume Obozinski)
-
KDD 2016
Proceedings Chair
-
NIPS 2016
workshop on
Nonconvex Optimization
- NIPS 2017 workshop on Discrete Structures in Machine Learning
- NeurIPS 2019 workshop on
Graph Representation Learning
Other events
I served as a judge at the 2017
New England Machine Learning Hackathon: Hacking Bias in ML
I was an invited speaker at the 2017 Oxford
Diversity in Machine Learning
event.