LXAI @ ICML 2022 Workshop Program Committee Application
Application to join the Program Committee for the LatinX in AI Research Workshop colocated with ICML 2022.

We welcome individuals to serve as peer reviewers for the LXAI Workshop at ICML 2022. The areas of expertise include, but are not limited to:

- General Machine Learning (active learning, clustering, online learning, ranking, reinforcement learning, supervised, semi- and self-supervised learning, time series analysis, etc.)

- Deep Learning (architectures, generative models, deep reinforcement learning, etc.)

- Learning Theory (bandits, game theory, statistical learning theory, etc.)

- Optimization (convex and non-convex optimization, matrix/tensor methods, stochastic, online, non-smooth, composite, etc.)

- Probabilistic Inference (Bayesian methods, graphical models, Monte Carlo methods, etc.)

- Trustworthy Machine Learning (accountability, causality, fairness, privacy, robustness, etc.)

- Applications (computational biology, crowdsourcing, healthcare, neuroscience, social good, climate science, etc.)

Deadline to join the program committee: 04/14/2022.
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Email address for CMT (if different from your email address above)
Full Name *
Current Country of Residence *
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Highest Degree, Specialization, and Institution *
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Link to Google Scholar Profile or updated publication list *
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Have you completed a PhD in a relevant field? *
A completed PhD means after passing your final defense/viva.
Have you served as reviewer in venues like NeurIPS/ICML/ IEEE/ ACM/ CVPR /NAACL before? *
Do you have publications in venues like NeurIPS/ICML/ IEEE/ACM/ CVPR /NAACL before? *
Please summarize your previous reviewing experience, outside of the conferences mentioned in the previous question
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