Papers
A Synaptical Story of Persistent Activity with Graded Lifetime in a Neural System
Yuanyuan Mi, Luozheng Li, Dahui Wang et al.
Spectral Methods for Supervised Topic Models
Yining Wang, Jun Zhu
Just-In-Time Learning for Fast and Flexible Inference
S. M. Ali Eslami, Daniel Tarlow, Pushmeet Kohli et al.
Signal Aggregate Constraints in Additive Factorial HMMs, with Application to Energy Disaggregation
Mingjun Zhong, Nigel Goddard, Charles Sutton
Simple MAP Inference via Low-Rank Relaxations
Roy Frostig, Sida Wang, Percy Liang et al.
Spectral Learning of Mixture of Hidden Markov Models
Cem Subakan, Johannes Traa, Paris Smaragdis
Learning From Weakly Supervised Data by The Expectation Loss SVM (e-SVM) algorithm
Jun Zhu, Junhua Mao, Alan L. Yuille
DFacTo: Distributed Factorization of Tensors
Joon Hee Choi, S. Vishwanathan
Self-Adaptable Templates for Feature Coding
Xavier Boix, Gemma Roig, Salomon Diether et al.
A Representation Theory for Ranking Functions
Harsh H Pareek, Pradeep K Ravikumar
A framework for studying synaptic plasticity with neural spike train data
Scott Linderman, Christopher H Stock, Ryan P. Adams
Scalable Inference for Neuronal Connectivity from Calcium Imaging
Alyson K. Fletcher, Sundeep Rangan
Robust Bayesian Max-Margin Clustering
Changyou Chen, Jun Zhu, Xinhua Zhang
Neural Word Embedding as Implicit Matrix Factorization
Omer Levy, Yoav Goldberg
Multi-Class Deep Boosting
Vitaly Kuznetsov, Mehryar Mohri, Umar Syed
A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input
Mateusz Malinowski, Mario Fritz
Bayesian Sampling Using Stochastic Gradient Thermostats
Nan Ding, Youhan Fang, Ryan Babbush et al.
Robust Kernel Density Estimation by Scaling and Projection in Hilbert Space
Robert A Vandermeulen, Clayton Scott
Multiscale Fields of Patterns
Pedro Felzenszwalb, John G Oberlin
Learning Mixed Multinomial Logit Model from Ordinal Data
Sewoong Oh, Devavrat Shah
Stochastic Gradient Descent, Weighted Sampling, and the Randomized Kaczmarz algorithm
Deanna Needell, Rachel Ward, Nati Srebro
Conditional Random Field Autoencoders for Unsupervised Structured Prediction
Waleed Ammar, Chris Dyer, Noah A. Smith
Smoothed Gradients for Stochastic Variational Inference
Stephan Mandt, David Blei
Probabilistic Differential Dynamic Programming
Yunpeng Pan, Evangelos Theodorou