Papers
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
Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs
Li Jing, Yichen Shen, Tena Dubcek et al.
How to Escape Saddle Points Efficiently
Chi Jin, Rong Ge, Praneeth Netrapalli et al.
Efficient Nonmyopic Active Search
Shali Jiang, Gustavo Malkomes, Geoff Converse et al.
Contextual Decision Processes with low Bellman rank are PAC-Learnable
Nan Jiang, Akshay Krishnamurthy, Alekh Agarwal et al.
Uniform Convergence Rates for Kernel Density Estimation
Heinrich Jiang
Density Level Set Estimation on Manifolds with DBSCAN
Heinrich Jiang
From Patches to Images: A Nonparametric Generative Model
Geng Ji, Michael C. Hughes, Erik B. Sudderth
Simultaneous Learning of Trees and Representations for Extreme Classification and Density Estimation
Yacine Jernite, Anna Choromanska, David Sontag
Bayesian Optimization with Tree-structured Dependencies
Rodolphe Jenatton, Cedric Archambeau, Javier González et al.
Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control
Natasha Jaques, Shixiang Gu, Dzmitry Bahdanau et al.
Scalable Generative Models for Multi-label Learning with Missing Labels
Vikas Jain, Nirbhay Modhe, Piyush Rai
Decoupled Neural Interfaces using Synthetic Gradients
Max Jaderberg, Wojciech Marian Czarnecki, Simon Osindero et al.
Fairness in Reinforcement Learning
Shahin Jabbari, Matthew Joseph, Michael Kearns et al.
Variational Inference for Sparse and Undirected Models
John Ingraham, Debora Marks
Tensor Decomposition with Smoothness
Masaaki Imaizumi, Kohei Hayashi
Toward Controlled Generation of Text
Zhiting Hu, Zichao Yang, Xiaodan Liang et al.