ICML (1)

Publications

2013

Thomas Bühler, Syama Sundar Rangapuram, Simon Setzer, Matthias Hein
Constrained fractional set programs and their application in local clustering and community detection. ICML (1) (2013)
Matthew D. Golub, Steven M. Chase, Byron M. Yu
Learning an Internal Dynamics Model from Control Demonstration. ICML (1) (2013)
Yuxin Chen, Andreas Krause
Near-optimal Batch Mode Active Learning and Adaptive Submodular Optimization. ICML (1) (2013)
Yoshua Bengio, Grégoire Mesnil, Yann N. Dauphin, Salah Rifai
Better Mixing via Deep Representations. ICML (1) (2013)
Philipp Hennig
Fast Probabilistic Optimization from Noisy Gradients. ICML (1) (2013)
Wei Chen, Yajun Wang, Yang Yuan
Combinatorial Multi-Armed Bandit: General Framework and Applications. ICML (1) (2013)
Sébastien Giguère, François Laviolette, Mario Marchand, Khadidja Sylla
Risk Bounds and Learning Algorithms for the Regression Approach to Structured Output Prediction. ICML (1) (2013)
Byron Boots, Geoffrey J. Gordon
A Spectral Learning Approach to Range-Only SLAM. ICML (1) (2013)
Amin Karbasi, Amir Hesam Salavati, Amin Shokrollahi
Iterative Learning and Denoising in Convolutional Neural Associative Memories. ICML (1) (2013)
Harsh H. Pareek, Pradeep Ravikumar
Human Boosting. ICML (1) (2013)
Harikrishna Narasimhan, Shivani Agarwal
A Structural SVM Based Approach for Optimizing Partial AUC. ICML (1) (2013)
Boqing Gong, Kristen Grauman, Fei Sha
Connecting the Dots with Landmarks: Discriminatively Learning Domain-Invariant Features for Unsupervised Domain Adaptation. ICML (1) (2013)
Drausin Wulsin, Emily B. Fox, Brian Litt
Parsing epileptic events using a Markov switching process model for correlated time series. ICML (1) (2013)
Nina Balcan, Christopher Berlind, Steven Ehrlich, Yingyu Liang
Efficient Semi-supervised and Active Learning of Disjunctions. ICML (1) (2013)
Hachem Kadri, Mohammad Ghavamzadeh, Philippe Preux
A Generalized Kernel Approach to Structured Output Learning. ICML (1) (2013)
Xiaowei Zhang, Delin Chu
Sparse Uncorrelated Linear Discriminant Analysis. ICML (1) (2013)
Jun Zhu, Ning Chen, Hugh Perkins, Bo Zhang
Gibbs Max-Margin Topic Models with Fast Sampling Algorithms. ICML (1) (2013)
Animashree Anandkumar, Daniel J. Hsu, Adel Javanmard, Sham M. Kakade
Learning Linear Bayesian Networks with Latent Variables. ICML (1) (2013)
Sébastien Bubeck, Tengyao Wang, Nitin Viswanathan
Multiple Identifications in Multi-Armed Bandits. ICML (1) (2013)
Yu-Xiang Wang, Huan Xu
Noisy Sparse Subspace Clustering. ICML (1) (2013)
Ofir Pele, Ben Taskar, Amir Globerson, Michael Werman
The Pairwise Piecewise-Linear Embedding for Efficient Non-Linear Classification. ICML (1) (2013)
James Bergstra, Daniel Yamins, David D. Cox
Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions for Vision Architectures. ICML (1) (2013)
Fang Han, Han Liu
Principal Component Analysis on non-Gaussian Dependent Data. ICML (1) (2013)
Creighton Heaukulani, Zoubin Ghahramani
Dynamic Probabilistic Models for Latent Feature Propagation in Social Networks. ICML (1) (2013)
Oswin Krause, Asja Fischer, Tobias Glasmachers, Christian Igel
Approximation properties of DBNs with binary hidden units and real-valued visible units. ICML (1) (2013)
Paul Ruvolo, Eric Eaton
ELLA: An Efficient Lifelong Learning Algorithm. ICML (1) (2013)
Quannan Li, Jingdong Wang, David P. Wipf, Zhuowen Tu
Fixed-Point Model For Structured Labeling. ICML (1) (2013)
Marcela Zuluaga, Guillaume Sergent, Andreas Krause, Markus Püschel
Active Learning for Multi-Objective Optimization. ICML (1) (2013)
Eric C. Hall, Rebecca Willett
Dynamical Models and tracking regret in online convex programming. ICML (1) (2013)
Elad Gilboa, Yunus Saatçi, John P. Cunningham
Scaling Multidimensional Gaussian Processes using Projected Additive Approximations. ICML (1) (2013)
Arash Afkanpour, András György, Csaba Szepesvári, Michael Bowling
A Randomized Mirror Descent Algorithm for Large Scale Multiple Kernel Learning. ICML (1) (2013)
Tianqi Chen, Hang Li, Qiang Yang, Yong Yu
General Functional Matrix Factorization Using Gradient Boosting. ICML (1) (2013)
Roi Livni, David Lehavi, Sagi Schein, Hila Nachlieli, Shai Shalev-Shwartz, Amir Globerson
Vanishing Component Analysis. ICML (1) (2013)
Zhixiang Eddie Xu, Matt J. Kusner, Kilian Q. Weinberger, Minmin Chen
Cost-Sensitive Tree of Classifiers. ICML (1) (2013)
Nishant Ajay Mehta, Alexander G. Gray
Sparsity-Based Generalization Bounds for Predictive Sparse Coding. ICML (1) (2013)
Min Xiao, Yuhong Guo
Domain Adaptation for Sequence Labeling Tasks with a Probabilistic Language Adaptation Model. ICML (1) (2013)
Raphael Sznitman, Aurélien Lucchi, Peter I. Frazier, Bruno Jedynak, Pascal Fua
An Optimal Policy for Target Localization with Application to Electron Microscopy. ICML (1) (2013)
Xi Li, Guosheng Lin, Chunhua Shen, Anton van den Hengel, Anthony R. Dick
Learning Hash Functions Using Column Generation. ICML (1) (2013)
Ross B. Girshick, Hyun Oh Song, Trevor Darrell
Discriminatively Activated Sparselets. ICML (1) (2013)
Ke Zhai, Jordan L. Boyd-Graber
Online Latent Dirichlet Allocation with Infinite Vocabulary. ICML (1) (2013)
Odalric-Ambrym Maillard, Phuong Nguyen, Ronald Ortner, Daniil Ryabko
Optimal Regret Bounds for Selecting the State Representation in Reinforcement Learning. ICML (1) (2013)
Krikamol Muandet, David Balduzzi, Bernhard Schölkopf
Domain Generalization via Invariant Feature Representation. ICML (1) (2013)
Jacob D. Abernethy, Kareem Amin, Michael J. Kearns, Moez Draief
Large-Scale Bandit Problems and KWIK Learning. ICML (1) (2013)
Martin Jaggi
Revisiting Frank-Wolfe: Projection-Free Sparse Convex Optimization. ICML (1) (2013)
Yaoliang Yu, Hao Cheng, Dale Schuurmans, Csaba Szepesvári
Characterizing the Representer Theorem. ICML (1) (2013)
MohamadAli Torkamani, Daniel Lowd
Convex Adversarial Collective Classification. ICML (1) (2013)
Sinead Williamson, Avinava Dubey, Eric P. Xing
Parallel Markov Chain Monte Carlo for Nonparametric Mixture Models. ICML (1) (2013)
Simon Lacoste-Julien, Martin Jaggi, Mark Schmidt, Patrick Pletscher
Block-Coordinate Frank-Wolfe Optimization for Structural SVMs. ICML (1) (2013)
Alon Gonen, Sivan Sabato, Shai Shalev-Shwartz
Efficient Active Learning of Halfspaces: an Aggressive Approach. ICML (1) (2013)
Ohad Shamir, Tong Zhang
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes. ICML (1) (2013)