Nando De Feitas

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All published works

Action	Title	Year	Authors
+ PDF Chat	Bayesian Optimization in a Billion Dimensions via Random Embeddings	2016	Ziyu Wang Frank Hutter Masrour Zoghi David S. Matheson Nando De Feitas

Common Coauthors

Coauthor	Papers Together
Frank Hutter	1
Masrour Zoghi	1
Ziyu Wang	1
David S. Matheson	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Bayesian Multi-Scale Optimistic Optimization	2014	Ziyu Wang Babak Shakibi Jin Lin Nando de Freitas	1
+	Application of Bayesian approach to numerical methods of global and stochastic optimization	1994	Audris Mockus	1
+	The Bayesian approach to global optimization	2005	Audris Mockus	1
+	ON THE LIKELIHOOD THAT ONE UNKNOWN PROBABILITY EXCEEDS ANOTHER IN VIEW OF THE EVIDENCE OF TWO SAMPLES	1933	W. R THOMPSON	1
+ PDF Chat	Particle Learning of Gaussian Process Models for Sequential Design and Optimization	2011	Robert B. Gramacy Nicholas G. Polson	1
+	A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning	2010	Eric Brochu Vlad M. Cora Nando de Freitas	1
+	Portfolio Allocation for Bayesian Optimization	2010	Eric Brochu Matthew W. Hoffman Nando de Freitas	1
+	Hybrid Batch Bayesian Optimization	2012	Javad Azimi Ali Jalali Xiaoli Z. Fern	1
+	Making a Science of Model Search	2012	James Bergstra Dan Yamins David Cox	1
+	Exponential Regret Bounds for Gaussian Process Bandits with Deterministic Observations	2012	Nando de Freitas Masrour Zoghi Alex Smola	1
+ PDF Chat	Bandit Theory meets Compressed Sensing for high dimensional Stochastic Linear Bandit	2012	Alexandra Carpentier Rémi Munos	1
+	Convergence rates of efficient global optimization algorithms	2011	Adam D. Bull	1
+	Practical Bayesian Optimization of Machine Learning Algorithms	2012	Jasper Snoek Hugo Larochelle Ryan P. Adams	1
+ PDF Chat	Self-Avoiding Random Dynamics on Integer Complex Systems	2013	Firas Hamze Ziyu Wang Nando de Freitas	1
+ PDF Chat	Learning Where to Attend with Deep Architectures for Image Tracking	2012	Misha Denil Loris Bazzani Hugo Larochelle Nando de Freitas	1
+ PDF Chat	Smoothed Analysis of the Condition Numbers and Growth Factors of Matrices	2006	Arvind Sankar Daniel A. Spielman Shang‐Hua Teng	1
+	Practical bayesian optimization	2008	Daniel J. Lizotte	1
+ PDF Chat	ParamILS: An Automatic Algorithm Configuration Framework	2009	Frank Hutter Holger H. Hoos Kevin Leyton‐Brown T. Stuetzle	1
+	Smoothed Analysis of the Condition Numbers and Growth Factors of Matrices	2003	Arvind Sankar Daniel A. Spielman Shang‐Hua Teng	1
+	Exponential Regret Bounds for Gaussian Process Bandits with Deterministic Observations	2012	Nando de Freitas Alex Smola Masrour Zoghi	1
+	Joint Optimization and Variable Selection of High-dimensional Gaussian Processes	2012	Bo Chen Rui M. Castro Andreas Krause	1
+ PDF Chat	Non-asymptotic Theory of Random Matrices: Extreme Singular Values	2011	Mark Rudelson Roman Vershynin	1
+	New inference strategies for solving Markov decision processes using reversible jump MCMC	2009	Matt Hoffman Hendrik Kueck Nando de Freitas Arnaud Doucet	1
+ PDF Chat	Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design	2009	Niranjan Srinivas Andreas Krause Sham M. Kakade Matthias Seeger	1
+	On the Likelihood that One Unknown Probability Exceeds Another in View of the Evidence of Two Samples	1933	William Thompson	1
+	Bayesian Approach to Global Optimization	1989	Audris Mockus	1
+	Auto-WEKA: Combined Selection and Hyperparameter Optimization of Classification Algorithms	2012	Chris Thornton Frank Hutter Holger H. Hoos Kevin Leyton‐Brown	1
+	Adaptive MCMC with Bayesian Optimization	2012	Nimalan Mahendran Ziyu Wang Firas Hamze Nando de Freitas	1