James Lo

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All published works

Action	Title	Year	Authors
+	A Non-parametric Bayesian Model for Detecting Differential Item Functioning: An Application to Political Representation in the US	2022	Yuki Shiraito James Lo Santiago Olivella
+	Adaptively Solving the Local-Minimum Problem for Deep Neural Networks	2020	Huachuan Wang James Lo
+	Low-Order Model of Biological Neural Networks	2020	Huachuan Wang James Lo
+	Adaptively Solving the Local-Minimum Problem for Deep Neural Networks	2020	Huachuan Wang James Lo
+ PDF Chat	Adaptive Normalized Risk-Averting Training for Deep Neural Networks	2016	Zhiguang Wang Tim Oates James Lo
+	Adopting Robustness and Optimality in Fitting and Learning	2015	Zhiguang Wang Tim Oates James Lo
+	Adaptive Normalized Risk-Averting Training For Deep Neural Networks	2015	Zhiguang Wang Tim Oates James Lo
+	anominate: Alpha-NOMINATE Ideal Point Estimator	2014	Royce Carroll Christopher Hare Jeffrey B. Lewis James Lo Keith T. Poole Howard L. Rosenthal Carlos Algara Sam Fuller
+ PDF Chat	A Low-Order Model of Biological Neural Networks	2011	James Lo
+	Characterizing Fourier Series Representation of Probability Distributions on Compact Lie Groups	1988	James Lo Sze-Kui Ng
+	Optimal Filters for Bilinear Systems with Nilpotent	1979	Shirish D. Chikte James Lo
+	Optimal Filters for Nilpotent Associate-Algebraic Bilinear Systems.	1978	Shirish D. Chikte James Lo
+	Exponential Fourier Densities on a Riemannian Metric and Optimal Estimation for Axial Processes.	1977	James Lo Linda R. Eshleman

Common Coauthors

Coauthor	Papers Together
Zhiguang Wang	3
Tim Oates	3
Shirish D. Chikte	2
Huachuan Wang	2
Jeffrey B. Lewis	1
Royce Carroll	1
Linda R. Eshleman	1
Carlos Algara	1
Sam Fuller	1
Howard L. Rosenthal	1
Christopher Hare	1
Huachuan Wang	1
Sze-Kui Ng	1
Keith T. Poole	1
Santiago Olivella	1
Yuki Shiraito	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	A remark on the GOP algorithm for global optimization	1993	W. B. Liu Christodoulos A. Floudas	3
+	Theano: new features and speed improvements	2012	Frédéric Bastien Pascal Lamblin Razvan Pascanu James Bergstra Ian J. Goodfellow Arnaud Bergeron Nicolas Bouchard David Warde-Farley Yoshua Bengio	2
+	SimNets: A Generalization of Convolutional Networks	2014	Nadav Cohen Amnon Shashua	2
+	Identifying and attacking the saddle point problem in high-dimensional non-convex optimization	2014	Yann Dauphin Razvan Pascanu Çaǧlar Gülçehre Kyunghyun Cho Surya Ganguli Yoshua Bengio	2
+ PDF Chat	Convolutional Kernel Networks	2014	Julien Mairal Piotr Koniusz Zaïd Harchaoui Cordelia Schmid	2
+	Pattern Recognition and Machine Learning	2007	Christopher Bishop	2
+	Stochastic Pooling for Regularization of Deep Convolutional Neural Networks	2013	Matthew D. Zeiler Rob Fergus	2
+	On the Liu–Floudas Convexification of Smooth Programs	2005	S. Zlobec	1
+ PDF Chat	Possible dendritic contribution to unimodal numerosity tuning and Weber-Fechner law-dependent numerical cognition	2009	Kenji Morita	1
+ PDF Chat	Going deeper with convolutions	2015	Christian Szegedy Wei Liu Yangqing Jia Pierre Sermanet Scott Reed Dragomir Anguelov Dumitru Erhan Vincent Vanhoucke Andrew Rabinovich	1
+ PDF Chat	Semi-groups of measures on Lie groups	1956	G. A. Hunt	1
+	Training Deep Neural Networks on Noisy Labels with Bootstrapping	2014	Scott Reed Honglak Lee Dragomir Anguelov Christian Szegedy Dumitru Erhan Andrew Rabinovich	1
+	Convolutional Kernel Networks	2014	Julien Mairal Piotr Koniusz Zaïd Harchaoui Cordelia Schmid	1
+ PDF Chat	A Low-Order Model of Biological Neural Networks	2011	James Lo	1
+	Robust error measure for supervised neural network learning with outliers	1996	Kadir Liano	1
+	Identifying and attacking the saddle point problem in high-dimensional non-convex optimization	2014	Yann Dauphin Razvan Pascanu Çaǧlar Gülçehre Kyunghyun Cho Surya Ganguli Yoshua Bengio	1
+	Least Median of Squares Regression	1984	Peter J. Rousseeuw	1
+	Exponential Fourier densities and optimal estimation and detection on the circle	1977	J.T. Lo	1
+	Deeply-Supervised Nets	2014	Chen‐Yu Lee Saining Xie Patrick W. Gallagher Zhengyou Zhang Zhuowen Tu	1
+ PDF Chat	Adaptive Normalized Risk-Averting Training for Deep Neural Networks	2016	Zhiguang Wang Tim Oates James Lo	1
+	Fuzzy Sets, Fuzzy Logic, and Fuzzy Systems	2003	Μ.Μ. Gupta Jerzy B. Kiszka	1
+ PDF Chat	An introduction to Lie groups and Lie algebras	2009		1
+	Generalized Denoising Auto-Encoders as Generative Models	2013	Yoshua Bengio Li Yao Guillaume Alain Pascal Vincent	1
+	Stochastic Pooling for Regularization of Deep Convolutional Neural Networks	2013	Matthew D. Zeiler Rob Fergus	1
+	Adaptive Normalized Risk-Averting Training For Deep Neural Networks	2015	Zhiguang Wang Tim Oates James Lo	1
+	Special Functions. A Group Theoretic Approach	1969	E. P. Wigner James D. Talman L. C. Biedenharn	1
+	Pylearn2: a machine learning research library	2013	Ian Goodfellow David Warde-Farley Pascal Lamblin Vincent Dumoulin Mehdi Mirza Razvan Pascanu James Bergstra Frédéric Bastien Yoshua Bengio	1
+	Convolutional Kernel Networks	2014	Julien Mairal Piotr Koniusz Zaïd Harchaoui Cordelia Schmid	1
+	Harmonic Analysis and the Theory of Probability	1955	Salomon Bochner	1
+ PDF Chat	Optimization for Machine Learning	2011	Suvrit Sra Sebastian Nowozin Stephen J. Wright	1
+	Some Estimation Problems on Lie Groups	1973	Alan S. Willsky	1
+	Probability Measures on Locally Compact Groups	1977	Herbert Heyer	1
+	Pylearn2: a machine learning research library	2013	Ian Goodfellow David Warde-Farley Pascal Lamblin Vincent Dumoulin Mehdi Mirza Razvan Pascanu James Bergstra Frédéric Bastien Yoshua Bengio	1
+ PDF Chat	Deep visual-semantic alignments for generating image descriptions	2015	Andrej Karpathy Li Fei-Fei	1
+	Resistant Fits for Some Commonly Used Logistic Models with Medical Applications	1982	Daryl Pregibon	1
+	Positive Zonal Functions on Spheres	1954	S. Bochner	1
+	Optimally hounded score functions for generalized linear models with applications to logistic regression	1986	Leonard A. Stefanski Raymond J. Carroll David Ruppert	1