Papers
Learning Optimal Commitment to Overcome Insecurity
Avrim Blum, Nika Haghtalab, Ariel D Procaccia
Combinatorial Pure Exploration of Multi-Armed Bandits
Shouyuan Chen, Tian Lin, Irwin King et al.
(Almost) No Label No Cry
Giorgio Patrini, Richard Nock, Paul Rivera et al.
Stochastic Network Design in Bidirected Trees
xiaojian wu, Daniel R. Sheldon, Shlomo Zilberstein
Near-Optimal Density Estimation in Near-Linear Time Using Variable-Width Histograms
Siu On Chan, Ilias Diakonikolas, Rocco A. Servedio et al.
Recursive Inversion Models for Permutations
Christopher Meek, Marina Meila
Local Linear Convergence of Forward--Backward under Partial Smoothness
Jingwei Liang, Jalal Fadili, Gabriel Peyré
Provable Tensor Factorization with Missing Data
Prateek Jain, Sewoong Oh
Fast Prediction for Large-Scale Kernel Machines
Cho-Jui Hsieh, Si Si, Inderjit S Dhillon
Sparse Multi-Task Reinforcement Learning
Daniele Calandriello, Alessandro Lazaric, Marcello Restelli
Encoding High Dimensional Local Features by Sparse Coding Based Fisher Vectors
Lingqiao Liu, Chunhua Shen, Lei Wang et al.
Multi-Scale Spectral Decomposition of Massive Graphs
Si Si, Donghyuk Shin, Inderjit S Dhillon et al.
Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models
Yarin Gal, Mark van der Wilk, Carl Edward Rasmussen
A statistical model for tensor PCA
Emile Richard, Andrea Montanari
A Block-Coordinate Descent Approach for Large-scale Sparse Inverse Covariance Estimation
Eran Treister, Javier S Turek
Deep Recursive Neural Networks for Compositionality in Language
Ozan Irsoy, Claire Cardie
On the Convergence Rate of Decomposable Submodular Function Minimization
Robert Nishihara, Stefanie Jegelka, Michael I Jordan
Local Decorrelation For Improved Pedestrian Detection
Woonhyun Nam, Piotr Dollar, Joon Hee Han
Consistency of Spectral Partitioning of Uniform Hypergraphs under Planted Partition Model
Debarghya Ghoshdastidar, Ambedkar Dukkipati
Two-Stream Convolutional Networks for Action Recognition in Videos
Karen Simonyan, Andrew Zisserman
Asymmetric LSH (ALSH) for Sublinear Time Maximum Inner Product Search (MIPS)
Anshumali Shrivastava, Ping Li
Learning with Fredholm Kernels
Qichao Que, Mikhail Belkin, Yusu Wang
Learning Neural Network Policies with Guided Policy Search under Unknown Dynamics
Sergey Levine, Pieter Abbeel
Expectation Backpropagation: Parameter-Free Training of Multilayer Neural Networks with Continuous or Discrete Weights
Daniel Soudry, Itay Hubara, Ron Meir