2.1k citations · 9.2k across the 77 of their papers we have counts for
9 papers · 1 filter
Recklessly Approximate Sparse Coding
Misha Denil, Nando de Freitas
It has recently been observed that certain extremely simple feature encoding techniques are able to achieve state of the art performance on several standard image classification be…
From Fields to Trees
Firas Hamze, Nando de Freitas
We present new MCMC algorithms for computing the posterior distributions and expectations of the unknown variables in undirected graphical models with regular structure. For demons…
Toward Practical N2 Monte Carlo: the Marginal Particle Filter
Mike Klaas, Nando de Freitas, Arnaud Doucet
Sequential Monte Carlo techniques are useful for state estimation in non-linear, non-Gaussian dynamic models. These methods allow us to approximate the joint posterior distribution…
Learning about individuals from group statistics
Hendrik Kuck, Nando de Freitas
We propose a new problem formulation which is similar to, but more informative than, the binary multiple-instance learning problem. In this setting, we are given groups of instance…
Nonparametric Bayesian Logic
Peter Carbonetto, Jacek Kisynski, Nando de Freitas +1
The Bayesian Logic (BLOG) language was recently developed for defining first-order probability models over worlds with unknown numbers of objects. It handles important problems in…
Exponential Regret Bounds for Gaussian Process Bandits with Deterministic Observations
Nando de Freitas, Alex Smola, Masrour Zoghi
This paper analyzes the problem of Gaussian process (GP) bandits with deterministic observations. The analysis uses a branch and bound algorithm that is related to the UCB algorith…