Papers
Consistent k-Clustering
Silvio Lattanzi, Sergei Vassilvitskii
Conditional Accelerated Lazy Stochastic Gradient Descent
Guanghui Lan, Sebastian Pokutta, Yi Zhou et al.
Co-clustering through Optimal Transport
Charlotte Laclau, Ievgen Redko, Basarab Matei et al.
Grammar Variational Autoencoder
Matt J. Kusner, Brooks Paige, José Miguel Hernández-Lobato
Resource-efficient Machine Learning in 2 KB RAM for the Internet of Things
Ashish Kumar, Saurabh Goyal, Manik Varma
Evaluating Bayesian Models with Posterior Dispersion Indices
Alp Kucukelbir, Yixin Wang, David M. Blei
Active Learning for Cost-Sensitive Classification
Akshay Krishnamurthy, Alekh Agarwal, Tzu-Kuo Huang et al.
PixelCNN Models with Auxiliary Variables for Natural Image Modeling
Alexander Kolesnikov, Christoph H. Lampert
Sub-sampled Cubic Regularization for Non-convex Optimization
Jonas Moritz Kohler, Aurelien Lucchi
Understanding Black-box Predictions via Influence Functions
Pang Wei Koh, Percy Liang
Cost-Optimal Learning of Causal Graphs
Murat Kocaoglu, Alex Dimakis, Sriram Vishwanath
SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Parallelization
Juyong Kim, Yookoon Park, Gunhee Kim et al.
Learning to Discover Cross-Domain Relations with Generative Adversarial Networks
Taeksoo Kim, Moonsu Cha, Hyunsoo Kim et al.
Graph-based Isometry Invariant Representation Learning
Renata Khasanova, Pascal Frossard
On Approximation Guarantees for Greedy Low Rank Optimization
Rajiv Khanna, Ethan R. Elenberg, Alexandros G. Dimakis et al.
Meritocratic Fairness for Cross-Population Selection
Michael Kearns, Aaron Roth, Zhiwei Steven Wu
Learning in POMDPs with Monte Carlo Tree Search
Sammie Katt, Frans A. Oliehoek, Christopher Amato
Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics
Ken Kansky, Tom Silver, David A. Mély et al.
Multi-fidelity Bayesian Optimisation with Continuous Approximations
Kirthevasan Kandasamy, Gautam Dasarathy, Jeff Schneider et al.
Adaptive Feature Selection: Computationally Efficient Online Sparse Linear Regression under RIP
Satyen Kale, Zohar Karnin, Tengyuan Liang et al.
Video Pixel Networks
Nal Kalchbrenner, Aäron Oord, Karen Simonyan et al.
Differentially Private Chi-squared Test by Unit Circle Mechanism
Kazuya Kakizaki, Kazuto Fukuchi, Jun Sakuma
StingyCD: Safely Avoiding Wasteful Updates in Coordinate Descent
Tyler B. Johnson, Carlos Guestrin
An Adaptive Test of Independence with Analytic Kernel Embeddings
Wittawat Jitkrittum, Zoltán Szabó, Arthur Gretton