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2007 NeurIPS
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior
Sebastian Gerwinn, Matthias Bethge, Jakob H. Macke et al.
2007 NeurIPS
SpAM: Sparse Additive Models
Han Liu, Larry Wasserman, John D. Lafferty et al.
2007 NeurIPS
Learning Bounds for Domain Adaptation
John Blitzer, Koby Crammer, Alex Kulesza et al.
2007 NeurIPS
Convex Clustering with Exemplar-Based Models
Danial Lashkari, Polina Golland
2007 NeurIPS
2007 NeurIPS
Bayes-Adaptive POMDPs
Stephane Ross, Brahim Chaib-draa, Joelle Pineau
2007 NeurIPS
2007 NeurIPS
Bayesian Policy Learning with Trans-Dimensional MCMC
Matthew Hoffman, Arnaud Doucet, Nando D. Freitas et al.
2007 NeurIPS
Kernel Measures of Conditional Dependence
Kenji Fukumizu, Arthur Gretton, Xiaohai Sun et al.
2007 NeurIPS
Classification via Minimum Incremental Coding Length (MICL)
John Wright, Yangyu Tao, Zhouchen Lin et al.
2007 NeurIPS
Competition Adds Complexity
Judy Goldsmith, Martin Mundhenk
2007 NeurIPS
On Ranking in Survival Analysis: Bounds on the Concordance Index
Harald Steck, Balaji Krishnapuram, Cary Dehing-oberije et al.
2007 NeurIPS
Structured Learning with Approximate Inference
Alex Kulesza, Fernando Pereira
2007 NeurIPS
Distributed Inference for Latent Dirichlet Allocation
David Newman, Padhraic Smyth, Max Welling et al.
2007 NeurIPS
Bayesian Agglomerative Clustering with Coalescents
Yee W. Teh, Hal Daume III, Daniel M. Roy
2007 NeurIPS
New Outer Bounds on the Marginal Polytope
David Sontag, Tommi S. Jaakkola
2007 NeurIPS
Robust Regression with Twinned Gaussian Processes
Andrew Naish-guzman, Sean Holden
2007 NeurIPS
Receptive Fields without Spike-Triggering
Guenther Zeck, Matthias Bethge, Jakob H. Macke
2007 NeurIPS
2007 NeurIPS
Catching Up Faster in Bayesian Model Selection and Model Averaging
Tim V. Erven, Steven D. Rooij, Peter Grünwald
2007 NeurIPS
Bundle Methods for Machine Learning
Quoc V. Le, Alex J. Smola, S.v.n. Vishwanathan
2007 NeurIPS