Papers
Inverse Covariance Estimation with Structured Groups
Shaozhe Tao, Yifan Sun, Daniel Boley
Robust Survey Aggregation with Student-t Distribution and Sparse Representation
Qingtao Tang, Tao Dai, Li Niu et al.
Student-t Process Regression with Student-t Likelihood
Qingtao Tang, Li Niu, Yisen Wang et al.
Bayesian Dynamic Mode Decomposition
Naoya Takeishi, Yoshinobu Kawahara, Yasuo Tabei et al.
MRLR: Multi-level Representation Learning for Personalized Ranking in Recommendation
Zhu Sun, Jie Yang, Jie Zhang et al.
CHARDA: Causal Hybrid Automata Recovery via Dynamic Analysis
Adam Summerville, Joseph Osborn, Michael Mateas
Correlational Dueling Bandits with Application to Clinical Treatment in Large Decision Spaces
Yanan Sui, Joel W. Burdick
Deep Supervised Hashing with Nonlinear Projections
Sen Su, Gang Chen, Xiang Cheng et al.
Vertex-Weighted Hypergraph Learning for Multi-View Object Classification
Lifan Su, Yue Gao, Xibin Zhao et al.
Forecast the Plausible Paths in Crowd Scenes
Hang Su, Jun Zhu, Yinpeng Dong et al.
End-to-end optimization of goal-driven and visually grounded dialogue systems
Florian Strub, Harm de Vries, Jérémie Mary et al.
Fast Sparse Gaussian Markov Random Fields Learning Based on Cholesky Factorization
Ivan Stojkovic, Vladisav Jelisavcic, Veljko Milutinovic et al.
Two dimensional Large Margin Nearest Neighbor for Matrix Classification
Kun Song, Feiping Nie, Junwei Han
Recommendation vs Sentiment Analysis: A Text-Driven Latent Factor Model for Rating Prediction with Cold-Start Awareness
Kaisong Song, Wei Gao, Shi Feng et al.
Hierarchical LSTM with Adjusted Temporal Attention for Video Captioning
Jingkuan Song, Lianli Gao, Zhao Guo et al.
Learning Hedonic Games
Jakub Sliwinski, Yair Zick
Learning with Previously Unseen Features
Yuan Shi, Craig A. Knoblock
Accelerated Doubly Stochastic Gradient Algorithm for Large-scale Empirical Risk Minimization
Zebang Shen, Hui Qian, Tongzhou Mu et al.
Learning Multi-level Region Consistency with Dense Multi-label Networks for Semantic Segmentation
Tong Shen, Guosheng Lin, Chunhua Shen et al.
Compressed Nonparametric Language Modelling
Ehsan Shareghi, Gholamreza Haffari, Trevor Cohn
Locally Consistent Bayesian Network Scores for Multi-Relational Data
Oliver Schulte, Sajjad Gholami
Convolutional-Match Networks for Question Answering
Spyridon Samothrakis, Tom Vodopivec, Michael Fairbank et al.
LMPP: A Large Margin Point Process Combining Reinforcement and Competition for Modeling Hashtag Popularity
Bidisha Samanta, Abir De, Abhijnan Chakraborty et al.
See without looking: joint visualization of sensitive multi-site datasets
Debbrata K. Saha, Vince D. Calhoun, Sandeep R. Panta et al.
Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations
Andrew Slavin Ross, Michael C. Hughes, Finale Doshi-Velez