Papers
Positive Curvature and Hamiltonian Monte Carlo
Christof Seiler, Simon Rubinstein-Salzedo, Susan Holmes
Scalable Kernel Methods via Doubly Stochastic Gradients
Bo Dai, Bo Xie, Niao He et al.
A Probabilistic Framework for Multimodal Retrieval using Integrative Indian Buffet Process
Bahadir Ozdemir, Larry S. Davis
The limits of squared Euclidean distance regularization
Michal Derezinski, Manfred K. Warmuth
A Filtering Approach to Stochastic Variational Inference
Neil Houlsby, David Blei
Sparse Bayesian structure learning with “dependent relevance determination” priors
Anqi Wu, Mijung Park, Oluwasanmi O Koyejo et al.
Streaming, Memory Limited Algorithms for Community Detection
Se-Young Yun, marc lelarge, Alexandre Proutiere
Extremal Mechanisms for Local Differential Privacy
Peter Kairouz, Sewoong Oh, Pramod Viswanath
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