Papers
Structure Learning of Partitioned Markov Networks
Song Liu, Taiji Suzuki, Masashi Sugiyama et al.
Learning Physical Intuition of Block Towers by Example
Adam Lerer, Sam Gross, Rob Fergus
Learning Simple Algorithms from Examples
Wojciech Zaremba, Tomas Mikolov, Armand Joulin et al.
Actively Learning Hemimetrics with Applications to Eliciting User Preferences
Adish Singla, Sebastian Tschiatschek, Andreas Krause
Adaptive Algorithms for Online Convex Optimization with Long-term Constraints
Rodolphe Jenatton, Jim Huang, Cedric Archambeau
Online Stochastic Linear Optimization under One-bit Feedback
Lijun Zhang, Tianbao Yang, Rong Jin et al.
A Distributed Variational Inference Framework for Unifying Parallel Sparse Gaussian Process Regression Models
Trong Nghia Hoang, Quang Minh Hoang, Bryan Kian Hsiang Low
Learning from Multiway Data: Simple and Efficient Tensor Regression
Rose Yu, Yan Liu
Adaptive Sampling for SGD by Exploiting Side Information
Siddharth Gopal
A Variational Analysis of Stochastic Gradient Algorithms
Stephan Mandt, Matthew Hoffman, David Blei
Binary embeddings with structured hashed projections
Anna Choromanska, Krzysztof Choromanski, Mariusz Bojarski et al.
Hierarchical Span-Based Conditional Random Fields for Labeling and Segmenting Events in Wearable Sensor Data Streams
Roy Adams, Nazir Saleheen, Edison Thomaz et al.
Hierarchical Variational Models
Rajesh Ranganath, Dustin Tran, David Blei
Stochastic Variance Reduction for Nonconvex Optimization
Sashank J. Reddi, Ahmed Hefny, Suvrit Sra et al.
Linking losses for density ratio and class-probability estimation
Aditya Menon, Cheng Soon Ong
Low-Rank Matrix Approximation with Stability
Dongsheng Li, Chao Chen, Qin Lv et al.
Variable Elimination in the Fourier Domain
Yexiang Xue, Stefano Ermon, Ronan Le Bras et al.
A Kernelized Stein Discrepancy for Goodness-of-fit Tests
Qiang Liu, Jason Lee, Michael Jordan
Dealbreaker: A Nonlinear Latent Variable Model for Educational Data
Andrew Lan, Tom Goldstein, Richard Baraniuk et al.
Asymmetric Multi-task Learning Based on Task Relatedness and Loss
Giwoong Lee, Eunho Yang, Sung Hwang
Multi-Bias Non-linear Activation in Deep Neural Networks
Hongyang Li, Wanli Ouyang, Xiaogang Wang
The Variational Nystrom method for large-scale spectral problems
Max Vladymyrov, Miguel Carreira-Perpinan