Research

My main current topics of interest are:

- machine learning
- theory and algorithms
- speech processing
- weighted automata theory and algorithms
- string or sequence algorithms
- natural language processing
- computational biology

Some recent talks:

- Learning with Data-Dependent Hypothesis sets (video).
- Regret Minimization against Strategic Buyers.
- AdaNet: adaptive learning of neural networks.
- Online Learning for Time Series Prediction.
- Learning Weighted Automata.
- Time Series Prediction and Online Learning.
- Structured Prediction Theory and Algorithms.
- On-Line Learning with Path Experts and Non-Additive Losses.
- Deep Boosting.
- Learning Theory and Algorithms for Second-Price Auctions with Reserve.

The following are some selected topics with a list of publications: