Papers
Asynchronous Doubly Stochastic Group Regularized Learning
Bin Gu, Zhouyuan Huo, Heng Huang
Graphical Models for Non-Negative Data Using Generalized Score Matching
Shiqing Yu, Mathias Drton, Ali Shojaie
Structured Optimal Transport
David Alvarez-Melis, Tommi Jaakkola, Stefanie Jegelka
Combinatorial Semi-Bandits with Knapsacks
Karthik Abinav Sankararaman, Aleksandrs Slivkins
Robust Locally-Linear Controllable Embedding
Ershad Banijamali, Rui Shu, mohammad Ghavamzadeh et al.
Reducing Crowdsourcing to Graphon Estimation, Statistically
Devavrat Shah, Christina Lee
Competing with Automata-based Expert Sequences
Mehryar Mohri, Scott Yang
Practical Bayesian optimization in the presence of outliers
Ruben Martinez-Cantin, Kevin Tee, Michael McCourt
Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control
Sanket Kamthe, Marc Deisenroth
Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure
Beilun Wang, arshdeep Sekhon, Yanjun Qi
Turing: A Language for Flexible Probabilistic Inference
Hong Ge, Kai Xu, Zoubin Ghahramani
Multi-objective Contextual Bandit Problem with Similarity Information
Eralp Turgay, Doruk Oner, Cem Tekin
Weighted Tensor Decomposition for Learning Latent Variables with Partial Data
Omer Gottesman, Weiwei Pan, Finale Doshi-Velez
Solving lp-norm regularization with tensor kernels
Saverio Salzo, Lorenzo Rosasco, Johan Suykens
Learning with Complex Loss Functions and Constraints
Harikrishna Narasimhan
Efficient Weight Learning in High-Dimensional Untied MLNs
Khan Mohammad Al Farabi, Somdeb Sarkhel, Deepak Venugopal
Achieving the time of 1-NN, but the accuracy of k-NN
Lirong Xue, Samory Kpotufe
Reparameterizing the Birkhoff Polytope for Variational Permutation Inference
Scott Linderman, Gonzalo Mena, Hal Cooper et al.
Learning Generative Models with Sinkhorn Divergences
Aude Genevay, Gabriel Peyre, Marco Cuturi
Online Regression with Partial Information: Generalization and Linear Projection
Shinji Ito, Daisuke Hatano, Hanna Sumita et al.
Minimax-Optimal Privacy-Preserving Sparse PCA in Distributed Systems
Jason Ge, Zhaoran Wang, Mengdi Wang et al.
On Statistical Optimality of Variational Bayes
Debdeep Pati, Anirban Bhattacharya, Yun Yang
Intersection-Validation: A Method for Evaluating Structure Learning without Ground Truth
Jussi Viinikka, Ralf Eggeling, Mikko Koivisto
Generalized Binary Search For Split-Neighborly Problems
Stephen Mussmann, Percy Liang