Papers
2,737 papers found
Rounding-based Moves for Metric Labeling
M. Pawan Kumar
A Representation Theory for Ranking Functions
Harsh H Pareek, Pradeep K Ravikumar
Self-Adaptable Templates for Feature Coding
Xavier Boix, Gemma Roig, Salomon Diether et al.
Spectral Methods for Supervised Topic Models
Yining Wang, Jun Zhu
A statistical model for tensor PCA
Emile Richard, Andrea Montanari
The Pareto Regret Frontier for Bandits
Tor Lattimore
Dynamic Network Surgery for Efficient DNNs
Yiwen Guo, Anbang Yao, Yurong Chen
Stochastic Optimization for Large-scale Optimal Transport
Aude Genevay, Marco Cuturi, Gabriel Peyré et al.
Dual Learning for Machine Translation
Di He, Yingce Xia, Tao Qin et al.
Latent Attention For If-Then Program Synthesis
Chang Liu, Xinyun Chen, Eui Chul Shin et al.
Learning Bound for Parameter Transfer Learning
Wataru Kumagai
Improved Techniques for Training GANs
Tim Salimans, Ian Goodfellow, Wojciech Zaremba et al.
Threshold Learning for Optimal Decision Making
Nathan F Lepora
Double Thompson Sampling for Dueling Bandits
Huasen Wu, Xin Liu
Geometric Dirichlet Means Algorithm for topic inference
Mikhail Yurochkin, Xuanlong Nguyen
Statistical Inference for Cluster Trees
Jisu KIM, Yen-Chi Chen, Sivaraman Balakrishnan et al.
A Probabilistic Framework for Deep Learning
Ankit B Patel, Minh Tan Nguyen, Richard Baraniuk
A Bandit Framework for Strategic Regression
Yang Liu, Yiling Chen
The Forget-me-not Process
Kieran Milan, Joel Veness, James Kirkpatrick et al.
Learning to Inpaint for Image Compression
Mohammad Haris Baig, Vladlen Koltun, Lorenzo Torresani
A New Theory for Matrix Completion
Guangcan Liu, Qingshan Liu, Xiaotong Yuan
A-NICE-MC: Adversarial Training for MCMC
Jiaming Song, Shengjia Zhao, Stefano Ermon
Sobolev Training for Neural Networks
Wojciech M. Czarnecki, Simon Osindero, Max Jaderberg et al.
Conic Scan-and-Cover algorithms for nonparametric topic modeling
Mikhail Yurochkin, Aritra Guha, Xuanlong Nguyen
Recursive Sampling for the Nystrom Method
Cameron Musco, Christopher Musco