Tutorials, service, ...

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

• - IPAM workshop Deep Learning and Combinatorial Optimization, 2021
• - ICML workshop Graph Representation Learning and Beyond, 2020
• - Women in Data Science (WiDS) Cambridge (faculty advisor), 2017-2022
• - NeurIPS 2019 workshop on Graph Representation Learning
• - DIMACS workshop “Optimization and Machine Learning”, Lehigh University 2018
• - NIPS 2017 workshop on Discrete Structures in Machine Learning
• - NIPS 2016 workshop on Nonconvex Optimization
• - DALI 2016 workshop on Learning and Optimization
• - PC of the New England Machine Learning Day 2015
• - ISMP 2015 session on Submodularity in Machine Learning - Theory and Practice
• - 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.

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.

Service

Continuing

• - Action Editor, Journal of Machine Learning
• - Associate Editor, TPAMI (from 2022)
• - Advisory Board, Learning Theory Alliance, since 2020
• - Open Graph Benchmark steering committee, since 2019

By year

• - Program Chair, International Conference on Machine Learning (ICML) 2022
• - Communications Chair, International Conference on Machine Learning (ICML), 2021
• - Area chair, International Conference on Machine Learning (ICML) 2020
• - Area chair, Conference on Uncertainty in Artificial Intelligence (UAI) 2020
• - Faculty Mentor, Rising Stars workshop, 2020
• - Workshop Chair, Conference on Neural Information Processing Systems (NeurIPS), 2020
• - Press Chair, International Conference on Machine Learning (ICML), 2020
• - Test of Time Award Committee, International Conference on Machine Learning (ICML), 2020
• - Area chair, Conference on Neural Information Processing Systems (NIPS/NeurIPS) 2019
• - Area chair, International Conference on Machine Learning (ICML) 2019
• - Steering Committee, DIMACS/Simons Collaboration on Bridging Continuous and Discrete Optimization, 2018–2020
• - Area chair, Conference on Neural Information Processing Systems (NIPS/NeurIPS) 2018
• - Area chair, Conference on Neural Information Processing Systems (NIPS/NeurIPS) 2017
• - Area chair, International Conference on Machine Learning (ICML) 2017
• - Awards Committee, International Conference on Machine Learning (ICML), 2017
• - Area chair, Conference on Neural Information Processing Systems (NIPS/NeurIPS) 2016
• - Area chair, International Conference on Machine Learning (ICML) 2016
• - Area chair, Conference on Artificial Intelligence and Statistics (AISTATS) 2016
• - Proceedings Chair, ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2016
• - Area chair, Conference on Uncertainty in Artificial Intelligence (UAI) 2015