Papers
Multi-view Matrix Factorization for Linear Dynamical System Estimation
Mahdi Karami, Martha White, Dale Schuurmans et al.
Gated Recurrent Convolution Neural Network for OCR
Jianfeng Wang, Xiaolin Hu
Learning Affinity via Spatial Propagation Networks
Sifei Liu, Shalini De Mello, Jinwei Gu et al.
Decomposable Submodular Function Minimization: Discrete and Continuous
Alina Ene, Huy Nguyen, László A. Végh
Streaming Weak Submodularity: Interpreting Neural Networks on the Fly
Ethan Elenberg, Alexandros G Dimakis, Moran Feldman et al.
Q-LDA: Uncovering Latent Patterns in Text-based Sequential Decision Processes
Jianshu Chen, Chong Wang, Lin Xiao et al.
A KL-LUCB algorithm for Large-Scale Crowdsourcing
Ervin Tanczos, Robert Nowak, Bob Mankoff
The Unreasonable Effectiveness of Structured Random Orthogonal Embeddings
Krzysztof M Choromanski, Mark Rowland, Adrian Weller
Integration Methods and Optimization Algorithms
Damien Scieur, Vincent Roulet, Francis Bach et al.
Diving into the shallows: a computational perspective on large-scale shallow learning
SIYUAN MA, Mikhail Belkin
Adversarial Ranking for Language Generation
Kevin Lin, Dianqi Li, Xiaodong He et al.
Regularized Modal Regression with Applications in Cognitive Impairment Prediction
Xiaoqian Wang, Hong Chen, Weidong Cai et al.
Conservative Contextual Linear Bandits
Abbas Kazerouni, Mohammad Ghavamzadeh, Yasin Abbasi Yadkori et al.
Structured Embedding Models for Grouped Data
Maja Rudolph, Francisco Ruiz, Susan Athey et al.
Multi-Armed Bandits with Metric Movement Costs
Tomer Koren, Roi Livni, Yishay Mansour
Learning Populations of Parameters
Kevin Tian, Weihao Kong, Gregory Valiant
Triangle Generative Adversarial Networks
Zhe Gan, Liqun Chen, Weiyao Wang et al.
One-Shot Imitation Learning
Yan Duan, Marcin Andrychowicz, Bradly Stadie et al.
On Fairness and Calibration
Geoff Pleiss, Manish Raghavan, Felix Wu et al.
Active Learning from Peers
Keerthiram Murugesan, Jaime Carbonell
Kernel Feature Selection via Conditional Covariance Minimization
Jianbo Chen, Mitchell Stern, Martin J. Wainwright et al.
Perturbative Black Box Variational Inference
Robert Bamler, Cheng Zhang, Manfred Opper et al.
Bregman Divergence for Stochastic Variance Reduction: Saddle-Point and Adversarial Prediction
Zhan Shi, Xinhua Zhang, Yaoliang Yu
Multiscale Quantization for Fast Similarity Search
Xiang Wu, Ruiqi Guo, Ananda Theertha Suresh et al.