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Thibaut Lienart edited this page Jan 29, 2016
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- When? Every Tuesday at 2:30pm
- Where? LG.04, Department of Statistics, 24-29 St Giles'
Date | Topic | Presenters |
---|---|---|
26/1 | External talk - "Extremal point process of the branching Brownian motion" | Julien Berestycki |
Organisational meeting | all | |
2/2 | W&J chap 3 - 4.1 | Leonard Hasenclever + Stefan Webb |
9/2 | W&J rest of chap 4, (chap 5) | Thibaut Lienart, (?) |
16/2 | ||
23/2 | ||
1/3 |
Variational inference and expectation propagation (Yee Whye)
- Wainwright & Jordan
- EP for approximate inference (Heskes & Zoeter)
- BB-alpha
- Convergent EP (Lobato),
- Fast convergent algorithms for EP (Seeger, Nickish)
SDEs and SGMCMC (Sebastian)
- Emily Fox Family of SDEs paper
- Changyou Chen & Lawrence Carin series (Dec 2015)
Bayesian Nonparametrics and stochastic processes
- [Gnedin & Pitman. Notes on the occupancy problem with infinitely many boxes: general asymptotics and power laws. Proba. surveys.]
- Harry Crane on Ewens' Sampling Formula
- Asmussen & Rosinsky, Cohen & Rosinsky on Gaussian tail approximations of Levy processes
- Tree processes (DDT, PYDT, coalescent, Gibbs fragmentation, continuum random trees?)
- Harry Crane on networks
- Neil Sheppard on Levy processes
- GP inducing points
- GP kernel structure learning (Duvenaud et al arxiv:1302.4922v4)
- Structure learning in matrix factorisation (Grosse et al)
Bayesian learning in general
- Bayesian dark Knowledge (Korattikara et al)
External speakers
- Andriy Mnih, Nicholas Heess, Charles Blundell
- Richard Xu
Model checking, evaluation (BDA Gelman)
- Posterior predictive checks
- WAIC