Papers
Active Transfer Learning under Model Shift
Xuezhi Wang, Tzu-Kuo Huang, Jeff Schneider
Robust and Efficient Kernel Hyperparameter Paths with Guarantees
Joachim Giesen, Soeren Laue, Patrick Wieschollek
One Practical Algorithm for Both Stochastic and Adversarial Bandits
Yevgeny Seldin, Aleksandrs Slivkins
Stochastic Backpropagation and Approximate Inference in Deep Generative Models
Danilo Jimenez Rezende, Shakir Mohamed, Daan Wierstra
Learning Latent Variable Gaussian Graphical Models
Zhaoshi Meng, Brian Eriksson, Al Hero
Inferning with High Girth Graphical Models
Uri Heinemann, Amir Globerson
A Convergence Rate Analysis for LogitBoost, MART and Their Variant
Peng Sun, Tong Zhang, Jie Zhou
Deep AutoRegressive Networks
Karol Gregor, Ivo Danihelka, Andriy Mnih et al.
Discrete Chebyshev Classifiers
Elad Eban, Elad Mezuman, Amir Globerson
Learning the Parameters of Determinantal Point Process Kernels
Raja Hafiz Affandi, Emily Fox, Ryan Adams et al.
Affinity Weighted Embedding
Jason Weston, Ron Weiss, Hector Yee
Online Multi-Task Learning for Policy Gradient Methods
Haitham Bou Ammar, Eric Eaton, Paul Ruvolo et al.
Understanding Protein Dynamics with L1-Regularized Reversible Hidden Markov Models
Robert McGibbon, Bharath Ramsundar, Mohammad Sultan et al.
Distributed Representations of Sentences and Documents
Quoc Le, Tomas Mikolov
Deep Boosting
Corinna Cortes, Mehryar Mohri, Umar Syed
Dual Query: Practical Private Query Release for High Dimensional Data
Marco Gaboardi, Emilio Jesus Gallego Arias, Justin Hsu et al.
Nonlinear Information-Theoretic Compressive Measurement Design
Liming Wang, Abolfazl Razi, Miguel Rodrigues et al.
Preserving Modes and Messages via Diverse Particle Selection
Jason Pacheco, Silvia Zuffi, Michael Black et al.
Standardized Mutual Information for Clustering Comparisons: One Step Further in Adjustment for Chance
Simone Romano, James Bailey, Vinh Nguyen et al.
Ensemble Methods for Structured Prediction
Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri
Finito: A faster, permutable incremental gradient method for big data problems
Aaron Defazio, Justin Domke, Caetano
Latent Confusion Analysis by Normalized Gamma Construction
Issei Sato, Hisashi Kashima, Hiroshi Nakagawa
Ensemble-Based Tracking: Aggregating Crowdsourced Structured Time Series Data
Naiyan Wang, Dit-Yan Yeung
Outlier Path: A Homotopy Algorithm for Robust SVM
Shinya Suzumura, Kohei Ogawa, Masashi Sugiyama et al.
A Physics-Based Model Prior for Object-Oriented MDPs
Jonathan Scholz, Martin Levihn, Charles Isbell et al.