John Thickstun
Contact: thickstn at cs.washington.edu I am a PhD student in Computer Science & Engineering at the University of Washington, coadvised by Sham Kakade and Zaid Harchaoui. My current research interests include representation learning, time series models, structured prediction, and applications to music. My CV/resume is available here. 

Publications and Preprints Coupled Recurrent Models for Polyphonic Music Composition. Invariances and Data Augmentation for Supervised Music Transcription. Learning Features of Music from Scratch. Notes and Tutorials Conditional Random Fields as a generalization of logistic regression Some notes on HilbertSchmidt operators Heuristics for manipulating stochastic differential equations Estimating the Shannon capacity of a graph Thoughts on proof assistants with companion code Finance Three perspectives on the BlackScholes formula:
Negative probabilities in the binomial option pricing model Probability The fast JohnsonLindenstrauss transform Probability densities from a measuretheoretic perspective Fun stuff 