Papers
A simple sketching algorithm for entropy estimation over streaming data
Peter Clifford, Ioana Cosma
Why Steiner-tree type algorithms work for community detection
Mung Chiang, Henry Lam, Zhenming Liu et al.
Evidence Estimation for Bayesian Partially Observed MRFs
Yutian Chen, Max Welling
A simple criterion for controlling selection bias
Eunice Yuh-Jie Chen, Judea Pearl
Computing the M Most Probable Modes of a Graphical Model
Chao Chen, Vladimir Kolmogorov, Yan Zhu et al.
Efficiently Sampling Probabilistic Programs via Program Analysis
Arun Chaganty, Aditya Nori, Sriram Rajamani
Convex Collective Matrix Factorization
Guillaume Bouchard, Dawei Yin, Shengbo Guo
Meta-Transportability of Causal Effects: A Formal Approach
Elias Bareinboim, Judea Pearl
Ultrahigh Dimensional Feature Screening via RKHS Embeddings
Krishnakumar Balasubramanian, Bharath Sriperumbudur, Guy Lebanon
Consensus Ranking with Signed Permutations
Raman Arora, Marina Meilă
Distributed and Adaptive Darting Monte Carlo through Regenerations
Sungjin Ahn, Yutian Chen, Max Welling
Further Optimal Regret Bounds for Thompson Sampling
Shipra Agrawal, Navin Goyal
Nyström Approximation for Large-Scale Determinantal Processes
Raja Hafiz Affandi, Alex Kulesza, Emily Fox et al.
Reconstructing ecological networks with hierarchical Bayesian regression and Mondrian processes
Andrej Aderhold, Dirk Husmeier, V. Anne Smith
Clustering Oligarchies
Margareta Ackerman, Shai Ben-David, David Loker et al.
A Competitive Test for Uniformity of Monotone Distributions
Jayadev Acharya, Ashkan Jafarpour, Alon Orlitsky et al.
Sparse Principal Component Analysis for High Dimensional Multivariate Time Series
Zhaoran Wang, Fang Han, Han Liu
Distributed Learning of Gaussian Graphical Models via Marginal Likelihoods
Zhaoshi Meng, Dennis Wei, Ami Wiesel et al.
Diagonal Orthant Multinomial Probit Models
James Johndrow, David Dunson, Kristian Lum
A unifying representation for a class of dependent random measures
Nicholas Foti, Joseph Futoma, Daniel Rockmore et al.
Permutation estimation and minimax rates of identifiability
Olivier Collier, Arnak Dalalyan
Bayesian learning of joint distributions of objects
Anjishnu Banerjee, Jared Murray, David Dunson
EPMC: Every Visit Preference Monte Carlo for Reinforcement Learning
Christian Wirth, Johannes Fürnkranz
Co-Training with Insufficient Views
Wei Wang, Zhi-Hua Zhou
Locally-Linear Learning Machines (L3M)
Joseph Wang, Venkatesh Saligrama