Papers
A Linear Dynamical System Model for Text
David Belanger, Sham Kakade
The Hedge Algorithm on a Continuum
Walid Krichene, Maximilian Balandat, Claire Tomlin et al.
Counterfactual Risk Minimization: Learning from Logged Bandit Feedback
Adith Swaminathan, Thorsten Joachims
Fictitious Self-Play in Extensive-Form Games
Johannes Heinrich, Marc Lanctot, David Silver
Alpha-Beta Divergences Discover Micro and Macro Structures in Data
Karthik Narayan, Ali Punjani, Pieter Abbeel
Random Coordinate Descent Methods for Minimizing Decomposable Submodular Functions
Alina Ene, Huy Nguyen
Latent Topic Networks: A Versatile Probabilistic Programming Framework for Topic Models
James Foulds, Shachi Kumar, Lise Getoor
Cascading Bandits: Learning to Rank in the Cascade Model
Branislav Kveton, Csaba Szepesvari, Zheng Wen et al.
Multi-view Sparse Co-clustering via Proximal Alternating Linearized Minimization
Jiangwen Sun, Jin Lu, Tingyang Xu et al.
BilBOWA: Fast Bilingual Distributed Representations without Word Alignments
Stephan Gouws, Yoshua Bengio, Greg Corrado
Towards a Lower Sample Complexity for Robust One-bit Compressed Sensing
Rongda Zhu, Quanquan Gu
Asymmetric Transfer Learning with Deep Gaussian Processes
Melih Kandemir
Log-Euclidean Metric Learning on Symmetric Positive Definite Manifold with Application to Image Set Classification
Zhiwu Huang, Ruiping Wang, Shiguang Shan et al.
Off-policy Model-based Learning under Unknown Factored Dynamics
Assaf Hallak, Francois Schnitzler, Timothy Mann et al.
Low Rank Approximation using Error Correcting Coding Matrices
Shashanka Ubaru, Arya Mazumdar, Yousef Saad
JUMP-Means: Small-Variance Asymptotics for Markov Jump Processes
Jonathan Huggins, Karthik Narasimhan, Ardavan Saeedi et al.
Vector-Space Markov Random Fields via Exponential Families
Wesley Tansey, Oscar Hernan Madrid Padilla, Arun Sai Suggala et al.
Stochastic Dual Coordinate Ascent with Adaptive Probabilities
Dominik Csiba, Zheng Qu, Peter Richtarik
Ranking from Stochastic Pairwise Preferences: Recovering Condorcet Winners and Tournament Solution Sets at the Top
Arun Rajkumar, Suprovat Ghoshal, Lek-Heng Lim et al.
Latent Gaussian Processes for Distribution Estimation of Multivariate Categorical Data
Yarin Gal, Yutian Chen, Zoubin Ghahramani
Learning Parametric-Output HMMs with Two Aliased States
Roi Weiss, Boaz Nadler
On TD(0) with function approximation: Concentration bounds and a centered variant with exponential convergence
Nathaniel Korda, Prashanth La
Statistical and Algorithmic Perspectives on Randomized Sketching for Ordinary Least-Squares
Garvesh Raskutti, Michael Mahoney
Fast Kronecker Inference in Gaussian Processes with non-Gaussian Likelihoods
Seth Flaxman, Andrew Wilson, Daniel Neill et al.