Papers
An ensemble diversity approach to supervised binary hashing
Miguel A. Carreira-Perpinan, Ramin Raziperchikolaei
An equivalence between high dimensional Bayes optimal inference and M-estimation
Madhu Advani, Surya Ganguli
A Non-generative Framework and Convex Relaxations for Unsupervised Learning
Elad Hazan, Tengyu Ma
An Online Sequence-to-Sequence Model Using Partial Conditioning
Navdeep Jaitly, Quoc V Le, Oriol Vinyals et al.
A Non-parametric Learning Method for Confidently Estimating Patient's Clinical State and Dynamics
William Hoiles, Mihaela van der Schaar
An urn model for majority voting in classification ensembles
Victor Soto, Alberto Suárez, Gonzalo Martinez-Muñoz
A posteriori error bounds for joint matrix decomposition problems
Nicolo Colombo, Nikos Vlassis
A Powerful Generative Model Using Random Weights for the Deep Image Representation
Kun He, Yan Wang, John Hopcroft
Approximate maximum entropy principles via Goemans-Williamson with applications to provable variational methods
Andrej Risteski, Yuanzhi Li
A primal-dual method for conic constrained distributed optimization problems
Necdet Serhat Aybat, Erfan Yazdandoost Hamedani
A Probabilistic Framework for Deep Learning
Ankit B Patel, Minh Tan Nguyen, Richard Baraniuk
A Probabilistic Model of Social Decision Making based on Reward Maximization
Koosha Khalvati, Seongmin A. Park, Jean-Claude Dreher et al.
A Probabilistic Programming Approach To Probabilistic Data Analysis
Feras Saad, Vikash K Mansinghka
A Pseudo-Bayesian Algorithm for Robust PCA
Tae-Hyun Oh, Yasuyuki Matsushita, In Kweon et al.
Architectural Complexity Measures of Recurrent Neural Networks
Saizheng Zhang, Yuhuai Wu, Tong Che et al.
A scalable end-to-end Gaussian process adapter for irregularly sampled time series classification
Steven Cheng-Xian Li, Benjamin M. Marlin
A scaled Bregman theorem with applications
Richard Nock, Aditya Menon, Cheng Soon Ong
A Simple Practical Accelerated Method for Finite Sums
Aaron Defazio
A Sparse Interactive Model for Matrix Completion with Side Information
Jin Lu, Guannan Liang, Jiangwen Sun et al.
Assortment Optimization Under the Mallows model
Antoine Desir, Vineet Goyal, Srikanth Jagabathula et al.
A state-space model of cross-region dynamic connectivity in MEG/EEG
Ying Yang, Elissa Aminoff, Michael Tarr et al.
Asynchronous Parallel Greedy Coordinate Descent
Yang You, Xiangru Lian, Ji Liu et al.
A Theoretically Grounded Application of Dropout in Recurrent Neural Networks
Yarin Gal, Zoubin Ghahramani
Attend, Infer, Repeat: Fast Scene Understanding with Generative Models
S. M. Ali Eslami, Nicolas Heess, Theophane Weber et al.