Nando de Freitas

	2012
55		Byron Knoll, Nando de Freitas: A Machine Learning Perspective on Predictive Coding with PAQ8. DCC 2012: 377-386
54		Benjamin M. Marlin, Nando de Freitas: Asymptotic Efficiency of Deterministic Estimators for Discrete Energy-Based Models: Ratio Matching and Pseudolikelihood CoRR abs/1202.3746: (2012)
53		Nando de Freitas, Alex J. Smola, Masrour Zoghi: Regret Bounds for Deterministic Gaussian Process Bandits CoRR abs/1203.2177: (2012)
52		Mohamed Osama Ahmed, Pouyan T. Bibalan, Nando de Freitas, Simon Fauvel: Decentralized, Adaptive, Look-Ahead Particle Filtering CoRR abs/1203.2394: (2012)
51		Firas Hamze, Nando de Freitas: Intracluster Moves for Constrained Discrete-Space MCMC CoRR abs/1203.3484: (2012)
50		David Buchman, Mark W. Schmidt, Shakir Mohamed, David Poole, Nando de Freitas: On Sparse, Spectral and Other Parameterizations of Binary Probabilistic Models. Journal of Machine Learning Research - Proceedings Track 22: 173-181 (2012)
49		Nimalan Mahendran, Ziyu Wang, Firas Hamze, Nando de Freitas: Adaptive MCMC with Bayesian Optimization. Journal of Machine Learning Research - Proceedings Track 22: 751-760 (2012)
	2011
48		Kevin Swersky, Marc'Aurelio Ranzato, David Buchman, Benjamin M. Marlin, Nando de Freitas: On Autoencoders and Score Matching for Energy Based Models. ICML 2011: 1201-1208
47		Loris Bazzani, Nando de Freitas, Hugo Larochelle, Vittorio Murino, Jo-Anne Ting: Learning attentional policies for tracking and recognition in video with deep networks. ICML 2011: 937-944
46		Matthew D. Hoffman, Eric Brochu, Nando de Freitas: Portfolio Allocation for Bayesian Optimization. UAI 2011: 327-336
45		Benjamin M. Marlin, Nando de Freitas: Asymptotic Efficiency of Deterministic Estimators for Discrete Energy-Based Models: Ratio Matching and Pseudolikelihood. UAI 2011: 497-505
44		Byron Knoll, Nando de Freitas: A Machine Learning Perspective on Predictive Coding with PAQ CoRR abs/1108.3298: (2011)
43		Misha Denil, Loris Bazzani, Hugo Larochelle, Nando de Freitas: Learning where to Attend with Deep Architectures for Image Tracking CoRR abs/1109.3737: (2011)
	2010
42		Eric Brochu, Tyson Brochu, Nando de Freitas: A Bayesian Interactive Optimization Approach to Procedural Animation Design. Symposium on Computer Animation 2010: 103-112
41		Firas Hamze, Nando de Freitas: Intracluster Moves for Constrained Discrete-Space MCMC. UAI 2010: 236-243
40		Eric Brochu, Matthew D. Hoffman, Nando de Freitas: Hedging Strategies for Bayesian Optimization CoRR abs/1009.5419: (2010)
39		Eric Brochu, Vlad M. Cora, Nando de Freitas: A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning CoRR abs/1012.2599: (2010)
38		Benjamin M. Marlin, Kevin Swersky, Bo Chen, Nando de Freitas: Inductive Principles for Restricted Boltzmann Machine Learning. Journal of Machine Learning Research - Proceedings Track 9: 509-516 (2010)
	2009
37		Hendrik Kück, Matthew D. Hoffman, Arnaud Doucet, Nando de Freitas: Inference and Learning for Active Sensing, Experimental Design and Control. IbPRIA 2009: 1-10
36		Matthias Hoffman, Hendrik Kück, Nando de Freitas, Arnaud Doucet: New inference strategies for solving Markov Decision Processes using reversible jump MCMC. UAI 2009: 223-231
35		Ruben Martinez-Cantin, Nando de Freitas, Eric Brochu, José A. Castellanos, Arnaud Doucet: A Bayesian exploration-exploitation approach for optimal online sensing and planning with a visually guided mobile robot. Auton. Robots 27(2): 93-103 (2009)
34		Matthew D. Hoffman, Nando de Freitas, Arnaud Doucet, Jan Peters: An Expectation Maximization Algorithm for Continuous Markov Decision Processes with Arbitrary Reward. Journal of Machine Learning Research - Proceedings Track 5: 232-239 (2009)
	2008
33		Julia Vogel, Nando de Freitas: Target-directed attention: Sequential decision-making for gaze planning. ICRA 2008: 2372-2379
32		Peter Carbonetto, Mark W. Schmidt, Nando de Freitas: An interior-point stochastic approximation method and an L1-regularized delta rule. NIPS 2008: 233-240
31		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
30		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
29		Eric Brochu, Nando de Freitas, Abhijeet Ghosh: Active Preference Learning with Discrete Choice Data. NIPS 2007
28		Matthew D. Hoffman, Arnaud Doucet, Nando de Freitas, Ajay Jasra: Bayesian Policy Learning with Trans-Dimensional MCMC. NIPS 2007
27		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
26		Firas Hamze, Nando de Freitas: Large-Flip Importance Sampling. UAI 2007: 167-174
	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	Mohamed Osama Ahmed	[52]
2	Christophe Andrieu	[2] [4] [6] [9]
3	Kobus Barnard	[10] [14]
4	Loris Bazzani	[43] [47]
5	Pouyan T. Bibalan	[52]
6	David M. Blei	[10]
7	Mark Briers	[24]
8	Eric Brochu	[7] [29] [35] [39] [40] [42] [46]
9	Tyson Brochu	[42]
10	David Buchman	[48] [50]
11	Yizheng Cai	[25]
12	Peter Carbonetto	[13] [14] [16] [22] [23] [31] [32]
13	José A. Castellanos	[27] [30] [35]
14	Bo Chen	[38]
15	Vlad M. Cora	[39]
16	Misha Denil	[43]
17	Gyuri Dorkó	[22] [31]
18	Arnaud Doucet	[1] [2] [3] [4] [6] [9] [18] [24] [27] [28] [34] [35] [36] [37]
19	Pinar Duygulu	[10]
20	Simon Fauvel	[52]
21	David A. Forsyth	[10]
22	Robert Fraser (Bob Fraser)	[21]
23	Abhijeet Ghosh	[29]
24	Firas Hamze	[11] [19] [21] [26] [41] [49] [51]
25	Matthew D. Hoffman	[28] [34] [37] [40] [46]
26	Matthias Hoffman	[36]
27	Pedro A. d. F. R. Højen-Sørensen	[5]
28	Ajay Jasra	[28]
29	Michael I. Jordan	[9] [10]
30	Jacek Kisynski	[16]
31	Mike Klaas	[18] [24]
32	Byron Knoll	[44] [55]
33	Hendrik Kück	[13] [17] [22] [31] [36] [37]
34	Dustin Lang	[12] [20] [24]
35	Hugo Larochelle	[43] [47]
36	James J. Little	[15] [25]
37	David G. Lowe	[15]
38	Maryam Mahdaviani	[20] [21]
39	Nimalan Mahendran	[49]
40	Benjamin M. Marlin	[38] [45] [48] [54]
41	Ruben Martinez-Cantin	[27] [30] [35]
42	Simon Maskell	[24]
43	Rudolph van der Merwe	[3]
44	Shakir Mohamed	[50]
45	Rubén Morales-Menéndez	[8]
46	Vittorio Murino	[47]
47	Kevin P. Murphy	[1]
48	Kenji Okuma	[15]
49	Jan Peters	[34]
50	David Poole	[8] [16] [50]
51	Marc'Aurelio Ranzato	[48]
52	Stuart J. Russell	[1] [5]
53	Cordelia Schmid	[22] [31]
54	Mark W. Schmidt	[32] [50]
55	Alexander J. Smola (Alex J. Smola)	[53]
56	Kevin Swersky	[38] [48]
57	Ali Taleghani	[15]
58	Jo-Anne Ting	[47]
59	Julia Vogel	[33]
60	Eric A. Wan	[3]
61	Ziyu Wang	[49]
62	Yang Wang	[20]
63	Masrour Zoghi	[53]

Colors in the list of coauthors

Last update Wed May 30 22:34:44 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page