|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:
|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:
|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:|
|Dec 20, 2017||
Contextual Explanations Networks were presented at two NIPS workshops.
Materials are now online:
|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!|