Papers
Anchor-Free Correlated Topic Modeling: Identifiability and Algorithm
Kejun Huang, Xiao Fu, Nikolaos D. Sidiropoulos
Fast and Provably Good Seedings for k-Means
Olivier Bachem, Mario Lucic, Hamed Hassani et al.
Efficient High-Order Interaction-Aware Feature Selection Based on Conditional Mutual Information
Alexander Shishkin, Anastasia Bezzubtseva, Alexey Drutsa et al.
Average-case hardness of RIP certification
Tengyao Wang, Quentin Berthet, Yaniv Plan
Quantum Perceptron Models
Ashish Kapoor, Nathan Wiebe, Krysta Svore
Mistake Bounds for Binary Matrix Completion
Mark Herbster, Stephen Pasteris, Massimiliano Pontil
Leveraging Sparsity for Efficient Submodular Data Summarization
Erik Lindgren, Shanshan Wu, Alexandros G Dimakis
Unsupervised Feature Extraction by Time-Contrastive Learning and Nonlinear ICA
Aapo Hyvarinen, Hiroshi Morioka
An urn model for majority voting in classification ensembles
Victor Soto, Alberto Suárez, Gonzalo Martinez-Muñoz
Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition
Shizhong Han, Zibo Meng, AHMED-SHEHAB KHAN et al.
DECOrrelated feature space partitioning for distributed sparse regression
Xiangyu Wang, David B Dunson, Chenlei Leng
Nearly Isometric Embedding by Relaxation
James McQueen, Marina Meila, Dominique Joncas
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization
Sebastian Nowozin, Botond Cseke, Ryota Tomioka
Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation
Ilija Bogunovic, Jonathan Scarlett, Andreas Krause et al.
Generative Adversarial Imitation Learning
Jonathan Ho, Stefano Ermon
Large-Scale Price Optimization via Network Flow
Shinji Ito, Ryohei Fujimaki
Unified Methods for Exploiting Piecewise Linear Structure in Convex Optimization
Tyler B Johnson, Carlos Guestrin
Learning from Rational Behavior: Predicting Solutions to Unknown Linear Programs
Shahin Jabbari, Ryan M Rogers, Aaron Roth et al.
The Product Cut
Thomas Laurent, James von Brecht, Xavier Bresson et al.
A scaled Bregman theorem with applications
Richard Nock, Aditya Menon, Cheng Soon Ong
Fast and Flexible Monotonic Functions with Ensembles of Lattices
Mahdi Milani Fard, Kevin Canini, Andrew Cotter et al.
Optimal Tagging with Markov Chain Optimization
Nir Rosenfeld, Amir Globerson
New Liftable Classes for First-Order Probabilistic Inference
Seyed Mehran Kazemi, Angelika Kimmig, Guy Van den Broeck et al.
The Power of Optimization from Samples
Eric Balkanski, Aviad Rubinstein, Yaron Singer