# Robert Bamler

I am a postdoctoral machine learning researcher at Disney Research. My research interests include scalable algorithms for approximate Bayesian inference, and applications to natural language processing (NLP).

I joined Disney Research in September of 2016, where I’ve since been working in the statistical machine learning group lead by Stephan Mandt. From 2012 to 2016, I was a PhD student at the Institute for Theoretical Physics of the University of Cologne under the supervision of Achim Rosch, and supported by German Telekom Foundation.

## Machine Learning Publications

- R. Bamler and S. Mandt,

**Improving Optimization for Models With Continuous Symmetry Breaking**

PDF | ICML 2018 | arXiv:1803.03234 - R. Bamler, C. Zhang, M. Opper, and S. Mandt,

**Perturbative Black Box Variational Inference**

PDF | NIPS 2017 | arXiv:1709.07433 - G. Ji, R. Bamler, E.B. Sudderth, and S. Mandt,

**Bayesian Paragraph Vectors**

PDF | AABI Workshop at NIPS 2017 | arXiv:1711.03946 - R. Bamler and S. Mandt,

**Dynamic Word Embeddings**

PDF | ICML 2017 | arXiv:1702.08359 | video abstract - R. Bamler and S. Mandt,

**Structured Black Box Variational Inference for Latent Time Series Models**

PDF | Time Series Workshop at ICML 2017 | arXiv:1707.01069

## Physics Publications

- R. Bamler,

**Phase-Space Berry Phases in Chiral Magnets: Skyrmion Charge, Hall Effect, and Dynamics of Magnetic Skyrmions**

PDF | Ph.D. thesis, University of Cologne (2016) - R. Bamler and A. Rosch,

**Equilibration and approximate conservation laws: Dipole oscillations and perfect drag of ultracold atoms in a harmonic trap**

PDF | Phys. Rev. A 91, 063604 (2015) | arXiv:1504.03375 - F. Freimuth, R. Bamler, Y. Mokrousov, and A. Rosch,

**Phase-space Berry phases in chiral magnets: Dzyaloshinskii-Moriya interaction and the charge of skyrmions**

PDF | Phys. Rev. B 88, 214409 (2013) | arXiv:1307.8085 - R. Ritz, M. Halder, C. Franz, A. Bauer, M. Wagner, R. Bamler, A. Rosch, and C. Pfleiderer,

**Giant generic topological Hall resistivity of MnSi under pressure**

PDF | Phys. Rev. B 87, 134424 (2013) - A. B. Sichert, R. Bamler, and J. L. van Hemmen,

**Hydrodynamic Object Recognition: When Multipoles Count**

PDF | Phys. Rev. Lett. 102, 058104 (2009)

## Misc

- Want to read scientific papers on your e-reader, but disappointed with the layout and annoyed by a cumbersome file transfer? Try my browser extension Dontprint for Google Chrome and Mozilla Firefox.
- Before smartphones, how did people access Wikipedia when they were on the go? Some (few, really) used one of the first third party iPod apps.