Papers
2,737 papers found
The Importance of Communities for Learning to Influence
Eric Balkanski, Nicole Immorlica, Yaron Singer
K-Medoids For K-Means Seeding
James Newling, François Fleuret
Plan, Attend, Generate: Planning for Sequence-to-Sequence Models
Caglar Gulcehre, Francis Dutil, Adam Trischler et al.
Multi-Task Learning for Contextual Bandits
Aniket Anand Deshmukh, Urun Dogan, Clay Scott
Optimal Sample Complexity of M-wise Data for Top-K Ranking
Minje Jang, Sunghyun Kim, Changho Suh et al.
Stochastic Approximation for Canonical Correlation Analysis
Raman Arora, Teodor Vanislavov Marinov, Poorya Mianjy et al.
Bayesian Dyadic Trees and Histograms for Regression
Stéphanie van der Pas, Veronika Ročková
Approximation Algorithms for $\ell_0$-Low Rank Approximation
Karl Bringmann, Pavel Kolev, David Woodruff
Parametric Simplex Method for Sparse Learning
Haotian Pang, Han Liu, Robert J Vanderbei et al.
Diffusion Maps for Textual Network Embedding
Xinyuan Zhang, Yitong Li, Dinghan Shen et al.
Implicit Probabilistic Integrators for ODEs
Onur Teymur, Han Cheng Lie, Tim Sullivan et al.
Distilled Wasserstein Learning for Word Embedding and Topic Modeling
Hongteng Xu, Wenlin Wang, Wei Liu et al.
Sanity Checks for Saliency Maps
Julius Adebayo, Justin Gilmer, Michael Muelly et al.
The Price of Privacy for Low-rank Factorization
Jalaj Upadhyay
Early Stopping for Nonparametric Testing
Meimei Liu, Guang Cheng
Approximation algorithms for stochastic clustering
David Harris, Shi Li, Aravind Srinivasan et al.
Learning to Exploit Stability for 3D Scene Parsing
Yilun Du, Zhijian Liu, Hector Basevi et al.
Legendre Decomposition for Tensors
Mahito Sugiyama, Hiroyuki Nakahara, Koji Tsuda
Sequence-to-Segment Networks for Segment Detection
Zijun Wei, Boyu Wang, Minh Hoai Nguyen et al.
On Coresets for Logistic Regression
Alexander Munteanu, Chris Schwiegelshohn, Christian Sohler et al.
Learning to Solve SMT Formulas
Mislav Balunovic, Pavol Bielik, Martin Vechev
End-to-End Differentiable Physics for Learning and Control
Filipe de Avila Belbute-Peres, Kevin Smith, Kelsey Allen et al.
Trajectory Convolution for Action Recognition
Yue Zhao, Yuanjun Xiong, Dahua Lin
Precision and Recall for Time Series
Nesime Tatbul, Tae Jun Lee, Stan Zdonik et al.
Turbo Learning for CaptionBot and DrawingBot
Qiuyuan Huang, Pengchuan Zhang, Dapeng Wu et al.