Papers
Proximal Graphical Event Models
Debarun Bhattacharjya, Dharmashankar Subramanian, Tian Gao
Differentially Private Change-Point Detection
Rachel Cummings, Sara Krehbiel, Yajun Mei et al.
Learning latent variable structured prediction models with Gaussian perturbations
Kevin Bello, Jean Honorio
Neural Nearest Neighbors Networks
Tobias Plötz, Stefan Roth
Learning Versatile Filters for Efficient Convolutional Neural Networks
Yunhe Wang, Chang Xu, Chunjing XU et al.
Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion
Jacob Buckman, Danijar Hafner, George Tucker et al.
Parsimonious Bayesian deep networks
Mingyuan Zhou
Embedding Logical Queries on Knowledge Graphs
Will Hamilton, Payal Bajaj, Marinka Zitnik et al.
Snap ML: A Hierarchical Framework for Machine Learning
Celestine Dünner, Thomas Parnell, Dimitrios Sarigiannis et al.
Manifold-tiling Localized Receptive Fields are Optimal in Similarity-preserving Neural Networks
Anirvan Sengupta, Cengiz Pehlevan, Mariano Tepper et al.
Video Prediction via Selective Sampling
Jingwei Xu, Bingbing Ni, Xiaokang Yang
HOUDINI: Lifelong Learning as Program Synthesis
Lazar Valkov, Dipak Chaudhari, Akash Srivastava et al.
(Probably) Concave Graph Matching
Haggai Maron, Yaron Lipman
Tight Bounds for Collaborative PAC Learning via Multiplicative Weights
Jiecao Chen, Qin Zhang, Yuan Zhou
Learning long-range spatial dependencies with horizontal gated recurrent units
Drew Linsley, Junkyung Kim, Vijay Veerabadran et al.
Efficient Stochastic Gradient Hard Thresholding
Pan Zhou, Xiaotong Yuan, Jiashi Feng
Dirichlet belief networks for topic structure learning
He Zhao, Lan Du, Wray Buntine et al.
Minimax Statistical Learning with Wasserstein distances
Jaeho Lee, Maxim Raginsky
Bandit Learning with Positive Externalities
Virag Shah, Jose Blanchet, Ramesh Johari
The Nearest Neighbor Information Estimator is Adaptively Near Minimax Rate-Optimal
Jiantao Jiao, Weihao Gao, Yanjun Han
Convex Elicitation of Continuous Properties
Jessica Finocchiaro, Rafael Frongillo
A Reduction for Efficient LDA Topic Reconstruction
Matteo Almanza, Flavio Chierichetti, Alessandro Panconesi et al.
Step Size Matters in Deep Learning
Kamil Nar, Shankar Sastry
Solving Large Sequential Games with the Excessive Gap Technique
Christian Kroer, Gabriele Farina, Tuomas Sandholm
Scalable methods for 8-bit training of neural networks
Ron Banner, Itay Hubara, Elad Hoffer et al.