## Recent Posts

- Harvard Center for Research on Computation and Society: Call for Fellows and Visiting Scholars
- Which research results will generalize?
- Prior knowledge and overfitting
- ICML Highlight: Fast Dropout Training
- Testing MCMC code, part 2: integration tests
- Compressing genomes
- Testing MCMC code, part 1: unit tests
- The Central Limit Theorem
- JIT compilation in MATLAB
- Introspection in AI
- Machine Learning Glossary
- Optimal Spatial Prediction with Kriging
- Fisher information
- The Gumbel-Max Trick for Discrete Distributions
- Pseudo-marginal MCMC
- Chernoff’s bound
- Upcoming Conferences
- Variational Inference (part 1)
- Geometric means of distributions
- Learning Theory: What Next?
- Stochastic memoization in Haskell
- Data compression and unsupervised learning, Part 2
- An Auxiliary Variable Trick for MCMC
- The Correct Birth/Death Jacobian for Mixture Models
- A Geometric Intuition for Markov’s Inequality

## Archives

## Categories

## Blogroll

- Andrew Gelman
- Computational Complexity
- Daniel Lemire
- Hal DaumÃ© III
- Harry Lewis
- Inducto Ex Machina
- Larry Wasserman
- Learning in Vision
- Machine Learning (Theory)
- Mathematics and Computation
- Michael Mitzenmacher
- My Slice of Pizza
- Nuit Blanche
- Radford Neal
- Scott Aaronson
- Talking Brains
- Terry Tao
- The Geomblog
- This Number Crunching Life
- Timothy Gowers
- xcorr

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