Papers
On denoising modulo 1 samples of a function
Mihai Cucuringu, Hemant Tyagi
The Binary Space Partitioning-Tree Process
Xuhui Fan, Bin Li, Scott Sisson
Comparison Based Learning from Weak Oracles
Ehsan Kazemi, Lin Chen, Sanjoy Dasgupta et al.
Adaptive Sampling for Coarse Ranking
Sumeet Katariya, Lalit Jain, Nandana Sengupta et al.
The Power Mean Laplacian for Multilayer Graph Clustering
Pedro Mercado, Antoine Gautier, Francesco Tudisco et al.
Parallel and Distributed MCMC via Shepherding Distributions
Arkabandhu Chowdhury, Christopher Jermaine
Inference in Sparse Graphs with Pairwise Measurements and Side Information
Dylan Foster, Karthik Sridharan, Daniel Reichman
Convergence of Value Aggregation for Imitation Learning
Ching-An Cheng, Byron Boots
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