Papers
4,122 papers found
When Are Overcomplete Topic Models Identifiable? Uniqueness of Tensor Tucker Decompositions with Structured Sparsity
Animashree Anandkumar, Daniel Hsu, Majid Janzamin et al.
Accelerating t-SNE using Tree-Based Algorithms
Laurens van der Maaten
Active Contextual Policy Search
Alexander Fabisch, Jan Hendrik Metzen
Active Imitation Learning: Formal and Practical Reductions to I.I.D. Learning
Kshitij Judah, Alan P. Fern, Thomas G. Dietterich et al.
Active Learning Using Smooth Relative Regret Approximations with Applications
Nir Ailon, Ron Begleiter, Esther Ezra
Adaptive Minimax Regression Estimation over Sparse $\ell_q$-Hulls
Zhan Wang, Sandra Paterlini, Fuchang Gao et al.
Adaptive Sampling for Large Scale Boosting
Charles Dubout, Francois Fleuret
A Junction Tree Framework for Undirected Graphical Model Selection
Divyanshu Vats, Robert D. Nowak
Alternating Linearization for Structured Regularization Problems
Xiaodong Lin, Minh Pham, Andrzej Ruszczyński
An Extension of Slow Feature Analysis for Nonlinear Blind Source Separation
Henning Sprekeler, Tiziano Zito, Laurenz Wiskott
A Novel M-Estimator for Robust PCA
Teng Zhang, Gilad Lerman
A Reliable Effective Terascale Linear Learning System
Alekh Agarwal, Oliveier Chapelle, Miroslav Dudík et al.
A Tensor Approach to Learning Mixed Membership Community Models
Animashree Anandkumar, Rong Ge, Daniel Hsu et al.
A Truncated EM Approach for Spike-and-Slab Sparse Coding
Abdul-Saboor Sheikh, Jacquelyn A. Shelton, Jörg Lücke
Axioms for Graph Clustering Quality Functions
Twan van Laarhoven, Elena Marchiori
Bayesian Co-Boosting for Multi-modal Gesture Recognition
Jiaxiang Wu, Jian Cheng
Bayesian Entropy Estimation for Countable Discrete Distributions
Evan Archer, Il Memming Park, Jonathan W. Pillow
Bayesian Inference with Posterior Regularization and Applications to Infinite Latent SVMs
Jun Zhu, Ning Chen, Eric P. Xing
Bayesian Nonparametric Comorbidity Analysis of Psychiatric Disorders
Francisco J. R. Ruiz, Isabel Valera, Carlos Blanco et al.
Boosting Algorithms for Detector Cascade Learning
Mohammad Saberian, Nuno Vasconcelos