Papers
Improving PAC Exploration Using the Median Of Means
Jason Pazis, Ronald E Parr, Jonathan P How
Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition
Shizhong Han, Zibo Meng, AHMED-SHEHAB KHAN et al.
Incremental Variational Sparse Gaussian Process Regression
Ching-An Cheng, Byron Boots
Inference by Reparameterization in Neural Population Codes
Rajkumar Vasudeva Raju, Zachary Pitkow
Infinite Hidden Semi-Markov Modulated Interaction Point Process
matt zhang, Peng Lin, Peng Lin et al.
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
Xi Chen, Yan Duan, Rein Houthooft et al.
Integrated perception with recurrent multi-task neural networks
Hakan Bilen, Andrea Vedaldi
Interaction Networks for Learning about Objects, Relations and Physics
Peter Battaglia, Razvan Pascanu, Matthew Lai et al.
Interaction Screening: Efficient and Sample-Optimal Learning of Ising Models
Marc Vuffray, Sidhant Misra, Andrey Lokhov et al.
Interpretable Distribution Features with Maximum Testing Power
Wittawat Jitkrittum, Zoltán Szabó, Kacper P Chwialkowski et al.
Interpretable Nonlinear Dynamic Modeling of Neural Trajectories
Yuan Zhao, ll Memming Park
Iterative Refinement of the Approximate Posterior for Directed Belief Networks
Devon Hjelm, Ruslan Salakhutdinov, Kyunghyun Cho et al.
Joint M-Best-Diverse Labelings as a Parametric Submodular Minimization
Alexander Kirillov, Alexander Shekhovtsov, Carsten Rother et al.
Joint quantile regression in vector-valued RKHSs
Maxime Sangnier, Olivier Fercoq, Florence d'Alché-Buc
Kernel Bayesian Inference with Posterior Regularization
Yang Song, Jun Zhu, Yong Ren
Kernel Observers: Systems-Theoretic Modeling and Inference of Spatiotemporally Evolving Processes
Hassan A Kingravi, Harshal R Maske, Girish Chowdhary
k*-Nearest Neighbors: From Global to Local
Oren Anava, Kfir Levy
Kronecker Determinantal Point Processes
Zelda E. Mariet, Suvrit Sra
Ladder Variational Autoencoders
Casper Kaae Sønderby, Tapani Raiko, Lars Maaløe et al.
Large Margin Discriminant Dimensionality Reduction in Prediction Space
Mohammad Saberian, Jose Costa Pereira, Can Xu et al.
Large-Scale Price Optimization via Network Flow
Shinji Ito, Ryohei Fujimaki
Latent Attention For If-Then Program Synthesis
Chang Liu, Xinyun Chen, Eui Chul Shin et al.
Launch and Iterate: Reducing Prediction Churn
Mahdi Milani Fard, Quentin Cormier, Kevin Canini et al.
LazySVD: Even Faster SVD Decomposition Yet Without Agonizing Pain
Zeyuan Allen-Zhu, Yuanzhi Li