...

- - 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

- - 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

- 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.

- Dec 2017 NIPS workshop on Bayesian Optimization for Science and Engineering
- Nov 2017 Yale
- Oct 2017 CISE Seminar, BU
- Oct 2017 BLISS Seminar, UC Berkeley
- Sep 2017 Neyman Seminar, UC Berkeley
- Sep 2017 ARC Colloquium, Georgia Tech Algorithms and Randomness Center
- Aug 2017 MSR Colloquium, MSR New England
- May 2017 Gatsby Unit, London
- May 2017 Oxford University Department of Statistics
- Apr 2017. Optimization and Statistical Learning, Les Houches.
- Mar 2017. Broad Institut MIA seminar
- Dec 2016. NIPS workshop on Nonconvex Optimization for Machine Learning: Theory and Practice.
- May 2016. New England Machine Learning Day, Cambridge.
- Apr 2016. Image and Video Computing Seminar, Boston University
- Mar 2016. ORC seminar, MIT
- Mar 2016. Harvard Applied Statistics seminar
- Feb 2016. Pattern Theory Seminar, Applied Mathematics, Brown University
- Jan 2016. University of Heidelberg
- Dec 2015. CMStatistics, London
- Nov 2015. WNCG seminar, UT Austin
- Sep 2015. Strata+Hadoop World, New York
- Sep 2015. Workshop on Data-driven Algorithmics, IACS, Harvard.
- Aug 2015. Dagstuhl workshop on Mathematical and Computational Foundations of Learning Theory
- Feb 2015. IMA workshop on Convexity and Optimization: Theory and Applications. Institute for Mathematics and its Applications, University of Minnesota
- Nov 2014. Simons Institute for the Theory of Computing, UC Berkeley
- Feb 2014. Algebraic Statistics Seminar, UC Berkeley
- Jan 2014. Optimization Seminar, The University of Tokyo
- Nov 2013. Dept. of Statistics, CMU
- Sep 2013. Machine Learning Department, CMU
- Feb 2013. Seminar on Algebra and Discrete Mathematics, UC Davis