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Publication search results
found 153 matches
- 2011
- Alekh Agarwal, Sahand N. Negahban, Martin J. Wainwright:
Noisy matrix decomposition via convex relaxation: Optimal rates in high dimensions. ICML 2011: 1129-1136 - Amrudin Agovic, Arindam Banerjee, Snigdhansu Chatterjee:
Probabilistic Matrix Addition. ICML 2011: 1025-1032 - Raman Arora, Maya R. Gupta, Amol Kapila, Maryam Fazel:
Clustering by Left-Stochastic Matrix Factorization. ICML 2011: 761-768 - Boris Babenko, Nakul Verma, Piotr Dollár, Serge J. Belongie:
Multiple Instance Learning with Manifold Bags. ICML 2011: 81-88 - Monica Babes, Vukosi Marivate, Kaushik Subramanian, Michael L. Littman:
Apprenticeship Learning About Multiple Intentions. ICML 2011: 897-904 - Simon Barthelmé, Nicolas Chopin:
ABC-EP: Expectation Propagation for Likelihoodfree Bayesian Computation. ICML 2011: 289-296 - 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 - Wei Bi, James T. Kwok:
MultiLabel Classification on Tree- and DAG-Structured Hierarchies. ICML 2011: 17-24 - Joseph K. Bradley, Aapo Kyrola, Danny Bickson, Carlos Guestrin:
Parallel Coordinate Descent for L1-Regularized Loss Minimization. ICML 2011: 321-328 - Céline Brouard, Florence d'Alché-Buc, Marie Szafranski:
Semi-supervised Penalized Output Kernel Regression for Link Prediction. ICML 2011: 593-600 - David Buffoni, Clément Calauzènes, Patrick Gallinari, Nicolas Usunier:
Learning Scoring Functions with Order-Preserving Losses and Standardized Supervision. ICML 2011: 825-832 - Tom Bylander:
Learning Linear Functions with Quadratic and Linear Multiplicative Updates. ICML 2011: 505-512 - Doran Chakraborty, Peter Stone:
Structure Learning in Ergodic Factored MDPs without Knowledge of the Transition Function's In-Degree. ICML 2011: 737-744 - Haojun Chen, David B. Dunson, Lawrence Carin:
Topic Modeling with Nonparametric Markov Tree. ICML 2011: 377-384 - Bo Chen, Gungor Polatkan, Guillermo Sapiro, David B. Dunson, Lawrence Carin:
The Hierarchical Beta Process for Convolutional Factor Analysis and Deep Learning. ICML 2011: 361-368 - Minmin Chen, Kilian Q. Weinberger, Yixin Chen:
Automatic Feature Decomposition for Single View Co-training. ICML 2011: 953-960 - Yudong Chen, Huan Xu, Constantine Caramanis, Sujay Sanghavi:
Robust Matrix Completion and Corrupted Columns. ICML 2011: 873-880 - KyungHyun Cho, Tapani Raiko, Alexander Ilin:
Enhanced Gradient and Adaptive Learning Rate for Training Restricted Boltzmann Machines. ICML 2011: 105-112 - Alexander Clark:
Inference of Inversion Transduction Grammars. ICML 2011: 201-208 - Adam Coates, Andrew Y. Ng:
The Importance of Encoding Versus Training with Sparse Coding and Vector Quantization. ICML 2011: 921-928 - Michele Cossalter, Rong Yan, Lu Zheng:
Adaptive Kernel Approximation for Large-Scale Non-Linear SVM Prediction. ICML 2011: 409-416 - Aaron C. Courville, James Bergstra, Yoshua Bengio:
Unsupervised Models of Images by Spikeand-Slab RBMs. ICML 2011: 1145-1152 - Koby Crammer, Claudio Gentile:
Multiclass Classification with Bandit Feedback using Adaptive Regularization. ICML 2011: 273-280 - Marco Cuturi:
Fast Global Alignment Kernels. ICML 2011: 929-936 - Abhimanyu Das, David Kempe:
Submodular meets Spectral: Greedy Algorithms for Subset Selection, Sparse Approximation and Dictionary Selection. ICML 2011: 1057-1064 - Yann N. Dauphin, Xavier Glorot, Yoshua Bengio:
Large-Scale Learning of Embeddings with Reconstruction Sampling. ICML 2011: 945-952 - Marc Peter Deisenroth, Carl Edward Rasmussen:
PILCO: A Model-Based and Data-Efficient Approach to Policy Search. ICML 2011: 465-472 - Ofer Dekel, Ran Gilad-Bachrach, Ohad Shamir, Lin Xiao:
Optimal Distributed Online Prediction. ICML 2011: 713-720 - Francesco Dinuzzo, Cheng Soon Ong, Peter V. Gehler, Gianluigi Pillonetto:
Learning Output Kernels with Block Coordinate Descent. ICML 2011: 49-56 - Finale Doshi, David Wingate, Joshua B. Tenenbaum, Nicholas Roy:
Infinite Dynamic Bayesian Networks. ICML 2011: 913-920
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