Papers
Learning with Incremental Iterative Regularization
Lorenzo Rosasco, Silvia Villa
Efficient Non-greedy Optimization of Decision Trees
Mohammad Norouzi, Maxwell Collins, Matthew A Johnson et al.
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren, Kaiming He, Ross Girshick et al.
Learning Continuous Control Policies by Stochastic Value Gradients
Nicolas Heess, Gregory Wayne, David Silver et al.
High Dimensional EM Algorithm: Statistical Optimization and Asymptotic Normality
Zhaoran Wang, Quanquan Gu, Yang Ning et al.
Training Restricted Boltzmann Machine via the Thouless-Anderson-Palmer free energy
Marylou Gabrie, Eric W Tramel, Florent Krzakala
Local Expectation Gradients for Black Box Variational Inference
Michalis Titsias RC AUEB, Miguel Lázaro-Gredilla
Time-Sensitive Recommendation From Recurrent User Activities
Nan Du, Yichen Wang, Niao He et al.
Efficient and Robust Automated Machine Learning
Matthias Feurer, Aaron Klein, Katharina Eggensperger et al.
Backpropagation for Energy-Efficient Neuromorphic Computing
Steve K Esser, Rathinakumar Appuswamy, Paul Merolla et al.
Weakly-supervised Disentangling with Recurrent Transformations for 3D View Synthesis
Jimei Yang, Scott E Reed, Ming-Hsuan Yang et al.
Attention-Based Models for Speech Recognition
Jan K Chorowski, Dzmitry Bahdanau, Dmitriy Serdyuk et al.
Statistical Model Criticism using Kernel Two Sample Tests
James R Lloyd, Zoubin Ghahramani
Bayesian Optimization with Exponential Convergence
Kenji Kawaguchi, Leslie Pack Kaelbling, Tomás Lozano-Pérez
Policy Evaluation Using the Ω-Return
Philip S. Thomas, Scott Niekum, Georgios Theocharous et al.
Efficient and Parsimonious Agnostic Active Learning
Tzu-Kuo Huang, Alekh Agarwal, Daniel J. Hsu et al.
Combinatorial Bandits Revisited
Richard Combes, Mohammad Sadegh Talebi Mazraeh Shahi, Alexandre Proutiere et al.
Barrier Frank-Wolfe for Marginal Inference
Rahul G Krishnan, Simon Lacoste-Julien, David Sontag
A Tractable Approximation to Optimal Point Process Filtering: Application to Neural Encoding
Yuval Harel, Ron Meir, Manfred Opper
Optimal Ridge Detection using Coverage Risk
Yen-Chi Chen, Christopher R Genovese, Shirley Ho et al.
Online Gradient Boosting
Alina Beygelzimer, Elad Hazan, Satyen Kale et al.
Data Generation as Sequential Decision Making
Philip Bachman, Doina Precup
Sparse Linear Programming via Primal and Dual Augmented Coordinate Descent
Ian En-Hsu Yen, Kai Zhong, Cho-Jui Hsieh et al.
Dependent Multinomial Models Made Easy: Stick-Breaking with the Polya-gamma Augmentation
Scott Linderman, Matthew J Johnson, Ryan P. Adams
Infinite Factorial Dynamical Model
Isabel Valera, Francisco Ruiz, Lennart Svensson et al.