Nando de Freitas

	2009
33		Hendrik Kück, Matthew Hoffman, Arnaud Doucet, Nando de Freitas: Inference and Learning for Active Sensing, Experimental Design and Control. IbPRIA 2009: 1-10
	2008
32		Julia Vogel, Nando de Freitas: Target-directed attention: Sequential decision-making for gaze planning. ICRA 2008: 2372-2379
31		Peter Carbonetto, Mark Schmidt, Nando de Freitas: An interior-point stochastic approximation method and an L1-regularized delta rule. NIPS 2008: 233-240
30		Peter Carbonetto, Gyuri Dorkó, Cordelia Schmid, Hendrik Kück, Nando de Freitas: Learning to Recognize Objects with Little Supervision. International Journal of Computer Vision 77(1-3): 219-237 (2008)
	2007
29		Ruben Martinez-Cantin, Nando de Freitas, José A. Castellanos: Analysis of Particle Methods for Simultaneous Robot Localization and Mapping and a New Algorithm: Marginal-SLAM. ICRA 2007: 2415-2420
28		Eric Brochu, Nando de Freitas, Abhijeet Ghosh: Active Preference Learning with Discrete Choice Data. NIPS 2007
27		Matthew Hoffman, Arnaud Doucet, Nando de Freitas, Ajay Jasra: Bayesian Policy Learning with Trans-Dimensional MCMC. NIPS 2007
26		Ruben Martinez-Cantin, Nando de Freitas, Arnaud Doucet, José A. Castellanos: Active Policy Learning for Robot Planning and Exploration under Uncertainty. Robotics: Science and Systems 2007
	2006
25		Yizheng Cai, Nando de Freitas, James J. Little: Robust Visual Tracking for Multiple Targets. ECCV (4) 2006: 107-118
24		Mike Klaas, Mark Briers, Nando de Freitas, Arnaud Doucet, Simon Maskell, Dustin Lang: Fast particle smoothing: if I had a million particles. ICML 2006: 481-488
23		Peter Carbonetto, Nando de Freitas: Conditional mean field. NIPS 2006: 201-208
22		Peter Carbonetto, Gyuri Dorkó, Cordelia Schmid, Hendrik Kück, Nando de Freitas: A Semi-supervised Learning Approach to Object Recognition with Spatial Integration of Local Features and Segmentation Cues. Toward Category-Level Object Recognition 2006: 277-300
	2005
21		Maryam Mahdaviani, Nando de Freitas, Bob Fraser, Firas Hamze: Fast Computational Methods for Visually Guided Robots. ICRA 2005: 138-143
20		Nando de Freitas, Yang Wang, Maryam Mahdaviani, Dustin Lang: Fast Krylov Methods for N-Body Learning. NIPS 2005
19		Firas Hamze, Nando de Freitas: Hot Coupling: A Particle Approach to Inference and Normalization on Pairwise Undirected Graphs. NIPS 2005
18		Mike Klaas, Nando de Freitas, Arnaud Doucet: Toward Practical N2 Monte Carlo: the Marginal Particle Filter. UAI 2005: 308-315
17		Nando de Freitas, Hendrik Kück: Learning about Individuals from Group Statistics. UAI 2005: 332-339
16		Peter Carbonetto, Jacek Kisynski, Nando de Freitas, David Poole: Nonparametric Bayesian Logic. UAI 2005: 85-93
	2004
15		Kenji Okuma, Ali Taleghani, Nando de Freitas, James J. Little, David G. Lowe: A Boosted Particle Filter: Multitarget Detection and Tracking. ECCV (1) 2004: 28-39
14		Peter Carbonetto, Nando de Freitas, Kobus Barnard: A Statistical Model for General Contextual Object Recognition. ECCV (1) 2004: 350-362
13		Hendrik Kück, Peter Carbonetto, Nando de Freitas: A Constrained Semi-supervised Learning Approach to Data Association. ECCV (3) 2004: 1-12
12		Dustin Lang, Nando de Freitas: Beat Tracking the Graphical Model Way. NIPS 2004
11		Firas Hamze, Nando de Freitas: From Fields to Trees. UAI 2004: 243-250
	2003
10		Kobus Barnard, Pinar Duygulu, David A. Forsyth, Nando de Freitas, David M. Blei, Michael I. Jordan: Matching Words and Pictures. Journal of Machine Learning Research 3: 1107-1135 (2003)
9		Christophe Andrieu, Nando de Freitas, Arnaud Doucet, Michael I. Jordan: An Introduction to MCMC for Machine Learning. Machine Learning 50(1-2): 5-43 (2003)
	2002
8		Rubén Morales-Menéndez, Nando de Freitas, David Poole: Real-Time Monitoring of Complex Industrial Processes with Particle Filters. NIPS 2002: 1433-1440
7		Eric Brochu, Nando de Freitas: "Name That Song!" A Probabilistic Approach to Querying on Music and Text. NIPS 2002: 1505-1512
	2001
6		Christophe Andrieu, Nando de Freitas, Arnaud Doucet: Rao-Blackwellised Particle Filtering via Data Augmentation. NIPS 2001: 561-567
5		Nando de Freitas, Pedro A. d. F. R. Højen-Sørensen, Stuart J. Russell: Variational MCMC. UAI 2001: 120-127
4		Christophe Andrieu, Nando de Freitas, Arnaud Doucet: Robust Full Bayesian Learning for Radial Basis Networks. Neural Computation 13(10): 2359-2407 (2001)
	2000
3		Rudolph van der Merwe, Arnaud Doucet, Nando de Freitas, Eric A. Wan: The Unscented Particle Filter. NIPS 2000: 584-590
2		Christophe Andrieu, Nando de Freitas, Arnaud Doucet: Reversible Jump MCMC Simulated Annealing for Neural Networks. UAI 2000: 11-18
1		Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, Stuart J. Russell: Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. UAI 2000: 176-183

Coauthor Index

1	Christophe Andrieu	[2] [4] [6] [9]
2	Kobus Barnard	[10] [14]
3	David M. Blei	[10]
4	Mark Briers	[24]
5	Eric Brochu	[7] [28]
6	Yizheng Cai	[25]
7	Peter Carbonetto	[13] [14] [16] [22] [23] [30] [31]
8	José A. Castellanos	[26] [29]
9	Gyuri Dorkó	[22] [30]
10	Arnaud Doucet	[1] [2] [3] [4] [6] [9] [18] [24] [26] [27] [33]
11	Pinar Duygulu	[10]
12	David A. Forsyth	[10]
13	Bob Fraser	[21]
14	Abhijeet Ghosh	[28]
15	Firas Hamze	[11] [19] [21]
16	Matthew Hoffman	[27] [33]
17	Pedro A. d. F. R. Højen-Sørensen	[5]
18	Ajay Jasra	[27]
19	Michael I. Jordan	[9] [10]
20	Jacek Kisynski	[16]
21	Mike Klaas	[18] [24]
22	Hendrik Kück	[13] [17] [22] [30] [33]
23	Dustin Lang	[12] [20] [24]
24	James J. Little	[15] [25]
25	David G. Lowe	[15]
26	Maryam Mahdaviani	[20] [21]
27	Ruben Martinez-Cantin	[26] [29]
28	Simon Maskell	[24]
29	Rudolph van der Merwe	[3]
30	Rubén Morales-Menéndez	[8]
31	Kevin P. Murphy	[1]
32	Kenji Okuma	[15]
33	David Poole	[8] [16]
34	Stuart J. Russell	[1] [5]
35	Cordelia Schmid	[22] [30]
36	Mark Schmidt	[31]
37	Ali Taleghani	[15]
38	Julia Vogel	[32]
39	Eric A. Wan	[3]
40	Yang Wang	[20]

Colors in the list of coauthors