highlights archive

Sep 9, 2019	Honored to be part of the 2019 class of Google PhD Fellows in Machine Learning. Huge thank you to all my mentors, colleagues, and collaborators! And thank you, Google!
May 15, 2019	It was a lot of work (and fun!) to help teach PGM 2019 class this past Spring. Check out an excellent set of lecture notes written by students in distill-like style. Recordings of all lectures are now available on YouTube.
Apr 5, 2019	How do we make zero-shot NMT consistent? Our NAACL 2019 paper on Consistency by Agreement shows how to do that! Joint work with Ankur Parikh at Google NYC last year. Update (more resources): arXiv, NAACL19 slides, AI Science Seminar virtual talk.
Mar 29, 2019	Excited to be co-organizing a workshop on Adaptive & Multitask Learning this year at ICML. Please consider submitting your latest work!
Jan 25, 2019	Grateful to be awarded $12,000 in Cloud Credits for Research from AWS. Time to burn some compute!
Jan 11, 2019	Excited to be on the teaching crew of PGM 2019. Expect new lecture material focused on deep generative models and RL. Everything will be online, lectures will be live-streamed and recorded. Stay tuned!
Dec 12, 2018	We’ve just launched the ML@CMU Blog! If you would like to contribute a post, please reach out.
Dec 10, 2018	New short paper, On the Complexity of Exploration in Goal-Driven Navigation, to presented at the R2L Workshop at NeurIPS 2018 (with Lisa, Russ, Eric).
Jul 15, 2018	Some highlights from AAMAS 2018 and ICML 2018: We’ve presented a number of papers: Learning with Opponent-Learning Awareness @ AAMAS. Evaluating Generalization in Multiagent Systems using Agent-Interaction Graphs (short) @ AAMAS. Learning Policy Representations in Multiagent Systems @ ICML. DiCE: The Infinitely Differentiable Monte-Carlo Estimator @ ICML. Code for LOLA and DiCE has been released. Check it out on GitHub.
May 21, 2018	Spending this summer at Google Research on the Language team in NYC, hosted by Ankur Parikh. Thinking about language generation in low-resource and multi-task settings.
May 5, 2018	Some highlights from ICLR 2018: Our paper on Continuous Adaptation via Meta-Learning (joint work with Trapit, Yura, Ilya, Igor, Pieter at OpenAI) received a Best Paper Award! Check out: poster, talk (starts around 1:20:50). We presented DiCE: The Infinitely Differentiable Monte-Carlo Estimator at the workshop. Here is the poster. Reach out if you have questions!
Apr 15, 2018	Very grateful to be awarded the 2018 CMLH Fellowship in Digital Healthcare by the Center of Machine Learning and Health. Looking forward to doing a lot of new exciting work in #ML4Health!
Apr 3, 2018	Gave a talk at ML Lunch Seminar on meta-learning for continuous adaptation. Here are the slides.
Jan 29, 2018	Two papers accepted for oral presentation: Continuous Adaptation via Meta-Learning at ICLR 2018. Learning with Opponent-Learning Awareness at AAMAS 2018.
Dec 20, 2017	Contextual Explanations Networks were presented at two NIPS workshops. Materials are now online: Interpretable ML Symposium: abstract, poster, spotlight. Machine Learning for Healthcare Workshop: abstract, poster, spotlight.
Oct 10, 2017	Technical report on the work this summer at OpenAI is now on arXiv.
Jul 31, 2017	Together with William Herlands and Dylan Fitzpatrick, we won a combined five categories in the NIJ Crime Forecasting Challenge.
Jun 30, 2017	Spoke with Waleed and Matt on the NLP Highlights podcast about our recent paper on Contextual Explanation Networks. Check it out!
May 30, 2017	New preprint: Contextual Explanation Networks. Available on arXiv.
May 21, 2017	Spending this summer at OpenAI working with Pieter Abbeel, Yuri Burda, and Igor Mordatch.
Nov 15, 2016	GP-LSTMs will be presented at the Bayesian Deep Learning workshop.
Oct 28, 2016	Our paper on learning scalable recurrent kernels is now available on arXiv. Gaussian Processes for Keras: initial code release on Github. For updates, tutorials, and examples follow the project on GitHub.
Aug 12, 2016	A paper on HMMs with nonparametric emissions has been accepted to NIPS! Preprint is available on arXiv and code on GitHub.
Jul 1, 2016	Code releases for past and recent projects. Check out the code page.
Apr 24, 2016	Architectures Deep In Output Space accepted at ICML’16.
Oct 25, 2015	New homepage powered by Jekyll with al-folio theme.
Oct 1, 2015	I’m fortunate to join Sailing Lab and be advised by Prof. Eric Xing.
Sep 1, 2015	Started my PhD in machine learning at CMU!