ICML (2)

Publications

2013

Stefano Ermon, Carla P. Gomes, Ashish Sabharwal, Bart Selman
Taming the Curse of Dimensionality: Discrete Integration by Hashing and Optimization. ICML (2) (2013)
Huayan Wang, Daphne Koller
Subproblem-Tree Calibration: A Unified Approach to Max-Product Message Passing. ICML (2) (2013)
Quoc Tran-Dinh, Anastasios Kyrillidis, Volkan Cevher
A proximal Newton framework for composite minimization: Graph learning without Cholesky decompositions and matrix inversions. ICML (2) (2013)
Liu Yang, Steve Hanneke
Activized Learning with Uniform Classification Noise. ICML (2) (2013)
Shuang-Hong Yang, Hongyuan Zha
Mixture of Mutually Exciting Processes for Viral Diffusion. ICML (2) (2013)
Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
Thurstonian Boltzmann Machines: Learning from Multiple Inequalities. ICML (2) (2013)
David Lopez-Paz, José Miguel Hernández-Lobato, Zoubin Ghahramani
Gaussian Process Vine Copulas for Multivariate Dependence. ICML (2) (2013)
Sanjeev Arora, Rong Ge, Yonatan Halpern, David M. Mimno, Ankur Moitra, David A. Sontag, Yichen Wu, Michael Zhu
A Practical Algorithm for Topic Modeling with Provable Guarantees. ICML (2) (2013)
Nicola Rebagliati
Strict Monotonicity of Sum of Squares Error and Normalized Cut in the Lattice of Clusterings. ICML (2) (2013)
Ruichu Cai, Zhenjie Zhang, Zhifeng Hao
SADA: A General Framework to Support Robust Causation Discovery. ICML (2) (2013)
Daniel Golovin, D. Sculley, H. Brendan McMahan, Michael Young
Large-Scale Learning with Less RAM via Randomization. ICML (2) (2013)
Uri Shalit, Daphna Weinshall, Gal Chechik
Modeling Musical Influence with Topic Models. ICML (2) (2013)
Pinghua Gong, Changshui Zhang, Zhaosong Lu, Jianhua Huang, Jieping Ye
A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems. ICML (2) (2013)
Sida I. Wang, Christopher D. Manning
Fast dropout training. ICML (2) (2013)
Billy Chang, Uwe Krüger, Rafal Kustra, Junping Zhang
Canonical Correlation Analysis based on Hilbert-Schmidt Independence Criterion and Centered Kernel Target Alignment. ICML (2) (2013)
Sharon Wulff, Ruth Urner, Shai Ben-David
Monochromatic Bi-Clustering. ICML (2) (2013)
Zheng Wen, Branislav Kveton, Brian Eriksson, Sandilya Bhamidipati
Sequential Bayesian Search. ICML (2) (2013)
Andreas Maurer, Massimiliano Pontil, Bernardino Romera-Paredes
Sparse coding for multitask and transfer learning. ICML (2) (2013)
Fang Han, Han Liu
Transition Matrix Estimation in High Dimensional Time Series. ICML (2) (2013)
Alexandra Carpentier, Rémi Munos
Toward Optimal Stratification for Stratified Monte-Carlo Integration. ICML (2) (2013)
Blaise Hanczar, Mohamed Nadif
Precision-recall space to correct external indices for biclustering. ICML (2) (2013)
Mrinal Kanti Das, Suparna Bhattacharya, Chiranjib Bhattacharyya, Kanchi Gopinath
Subtle Topic Models and Discovering Subtly Manifested Software Concerns Automatically. ICML (2) (2013)
Rémi Bardenet, Mátyás Brendel, Balázs Kégl, Michèle Sebag
Collaborative hyperparameter tuning. ICML (2) (2013)
Esther Salazar, Ryan Bogdan, Adam Gorka, Ahmad Hariri, Lawrence Carin
Exploring the Mind: Integrating Questionnaires and fMRI. ICML (2) (2013)
Ha Quang Minh, Loris Bazzani, Vittorio Murino
A unifying framework for vector-valued manifold regularization and multi-view learning. ICML (2) (2013)
Matus Telgarsky
Margins, Shrinkage, and Boosting. ICML (2) (2013)
Joonseok Lee, Seungyeon Kim, Guy Lebanon, Yoram Singer
Local Low-Rank Matrix Approximation. ICML (2) (2013)
Jason Weston, Ameesh Makadia, Hector Yee
Label Partitioning For Sublinear Ranking. ICML (2) (2013)
Ka Yu Hui
Direct Modeling of Complex Invariances for Visual Object Features. ICML (2) (2013)
Zhirong Yang, Jaakko Peltonen, Samuel Kaski
Scalable Optimization of Neighbor Embedding for Visualization. ICML (2) (2013)
Rajesh Ranganath, Chong Wang, David M. Blei, Eric P. Xing
An Adaptive Learning Rate for Stochastic Variational Inference. ICML (2) (2013)
Jan-Willem van de Meent, Jonathan E. Bronson, Frank D. Wood, Ruben L. Gonzalez, Chris Wiggins
Hierarchically-coupled hidden Markov models for learning kinetic rates from single-molecule data. ICML (2) (2013)
Do-kyum Kim, Geoffrey M. Voelker, Lawrence K. Saul
A Variational Approximation for Topic Modeling of Hierarchical Corpora. ICML (2) (2013)
Siddharth Gopal, Yiming Yang
Distributed training of Large-scale Logistic models. ICML (2) (2013)
Kihyuk Sohn, Guanyu Zhou, Chansoo Lee, Honglak Lee
Learning and Selecting Features Jointly with Point-wise Gated Boltzmann Machines. ICML (2) (2013)
Georg M. Goerg
Forecastable Component Analysis. ICML (2) (2013)
Michal Valko, Alexandra Carpentier, Rémi Munos
Stochastic Simultaneous Optimistic Optimization. ICML (2) (2013)
Anastasios Kyrillidis, Stephen Becker, Volkan Cevher, Christoph Koch
Sparse projections onto the simplex. ICML (2) (2013)
Alain Droniou, Olivier Sigaud
Gated Autoencoders with Tied Input Weights. ICML (2) (2013)
Gabriel Krummenacher, Cheng Soon Ong, Joachim M. Buhmann
Ellipsoidal Multiple Instance Learning. ICML (2) (2013)
Tanguy Urvoy, Fabrice Clérot, Raphaël Féraud, Sami Naamane
Generic Exploration and K-armed Voting Bandits. ICML (2) (2013)
Gartheeban Ganeshapillai, John V. Guttag, Andrew Lo
Learning Connections in Financial Time Series. ICML (2) (2013)