Papers
Recursive Karcher Expectation Estimators And Geometric Law of Large Numbers
Jeffrey Ho, Guang Cheng, Hesamoddin Salehian et al.
DivMCuts: Faster Training of Structural SVMs with Diverse M-Best Cutting-Planes
Abner Guzman-Rivera, Pushmeet Kohli, Dhruv Batra
Clustered Support Vector Machines
Quanquan Gu, Jiawei Han
Unsupervised Link Selection in Networks
Quanquan Gu, Charu Aggarwal, Jiawei Han
Mixed LICORS: A Nonparametric Algorithm for Predictive State Reconstruction
Georg Goerg, Cosma Shalizi
Predictive Correlation Screening: Application to Two-stage Predictor Design in High Dimension
Hamed Firouzi, Bala Rajaratnam, Alfred Hero III
Learning to Top-K Search using Pairwise Comparisons
Brian Eriksson
Data-driven covariate selection for nonparametric estimation of causal effects
Doris Entner, Patrik Hoyer, Peter Spirtes
Dynamic Copula Networks for Modeling Real-valued Time Series
Elad Eban, Gideon Rothschild, Adi Mizrahi et al.
Stochastic blockmodeling of relational event dynamics
Christopher DuBois, Carter Butts, Padhraic Smyth
Uncover Topic-Sensitive Information Diffusion Networks
Nan Du, Le Song, Hyenkyun Woo et al.
ODE parameter inference using adaptive gradient matching with Gaussian processes
Frank Dondelinger, Dirk Husmeier, Simon Rogers et al.
Deep Gaussian Processes
Andreas Damianou, Neil D. Lawrence
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