Papers
Nonmyopic ε-Bayes-Optimal Active Learning of Gaussian Processes
Trong Nghia Hoang, Bryan Kian Hsiang Low, Patrick Jaillet et al.
The Falling Factorial Basis and Its Statistical Applications
Yu-Xiang Wang, Alex Smola, Ryan Tibshirani
Learning Mixtures of Linear Classifiers
Yuekai Sun, Stratis Ioannidis, Andrea Montanari
K-means recovers ICA filters when independent components are sparse
Alon Vinnikov, Shai Shalev-Shwartz
Topic Modeling using Topics from Many Domains, Lifelong Learning and Big Data
Zhiyuan Chen, Bing Liu
Global graph kernels using geometric embeddings
Fredrik Johansson, Vinay Jethava, Devdatt Dubhashi et al.
Fast Computation of Wasserstein Barycenters
Marco Cuturi, Arnaud Doucet
Coding for Random Projections
Ping Li, Michael Mitzenmacher, Anshumali Shrivastava
Statistical analysis of stochastic gradient methods for generalized linear models
Panagiotis Toulis, Edoardo Airoldi, Jason Rennie
A Single-Pass Algorithm for Efficiently Recovering Sparse Cluster Centers of High-dimensional Data
Jinfeng Yi, Lijun Zhang, Jun Wang et al.
Structured Generative Models of Natural Source Code
Chris Maddison, Daniel Tarlow
Nonparametric Estimation of Multi-View Latent Variable Models
Le Song, Animashree Anandkumar, Bo Dai et al.
Robust Learning under Uncertain Test Distributions: Relating Covariate Shift to Model Misspecification
Junfeng Wen, Chun-Nam Yu, Russell Greiner
Stochastic Neighbor Compression
Matt Kusner, Stephen Tyree, Kilian Weinberger et al.
Alternating Minimization for Mixed Linear Regression
Xinyang Yi, Constantine Caramanis, Sujay Sanghavi
Fast large-scale optimization by unifying stochastic gradient and quasi-Newton methods
Jascha Sohl-Dickstein, Ben Poole, Surya Ganguli
Multimodal Neural Language Models
Ryan Kiros, Ruslan Salakhutdinov, Rich Zemel
Guess-Averse Loss Functions For Cost-Sensitive Multiclass Boosting
Oscar Beijbom, Mohammad Saberian, David Kriegman et al.
On Robustness and Regularization of Structural Support Vector Machines
Mohamad Ali Torkamani, Daniel Lowd
A new Q(lambda) with interim forward view and Monte Carlo equivalence
Rich Sutton, Ashique Rupam Mahmood, Doina Precup et al.
Model-Based Relational RL When Object Existence is Partially Observable
Ngo Ahn Vien, Marc Toussaint
Local algorithms for interactive clustering
Pranjal Awasthi, Maria Balcan, Konstantin Voevodski
Least Squares Revisited: Scalable Approaches for Multi-class Prediction
Alekh Agarwal, Sham Kakade, Nikos Karampatziakis et al.
Latent Semantic Representation Learning for Scene Classification
Xin Li, Yuhong Guo
Scaling SVM and Least Absolute Deviations via Exact Data Reduction
Jie Wang, Peter Wonka, Jieping Ye