Papers
Detecting Activations over Graphs using Spanning Tree Wavelet Bases
James Sharpnack, Aarti Singh, Akshay Krishnamurthy
Diagonal Orthant Multinomial Probit Models
James Johndrow, David Dunson, Kristian Lum
Distributed and Adaptive Darting Monte Carlo through Regenerations
Sungjin Ahn, Yutian Chen, Max Welling
Distributed Learning of Gaussian Graphical Models via Marginal Likelihoods
Zhaoshi Meng, Dennis Wei, Ami Wiesel et al.
Distribution-Free Distribution Regression
Barnabas Poczos, Aarti Singh, Alessandro Rinaldo et al.
DivMCuts: Faster Training of Structural SVMs with Diverse M-Best Cutting-Planes
Abner Guzman-Rivera, Pushmeet Kohli, Dhruv Batra
Dual Decomposition for Joint Discrete-Continuous Optimization
Christopher Zach
DYNACARE: Dynamic Cardiac Arrest Risk Estimation
Joyce Ho, Yubin Park, Carlos Carvalho et al.
Dynamic Copula Networks for Modeling Real-valued Time Series
Elad Eban, Gideon Rothschild, Adi Mizrahi et al.
Dynamic Scaled Sampling for Deterministic Constraints
Lei Li, Bharath Ramsundar, Stuart Russell
Efficiently Sampling Probabilistic Programs via Program Analysis
Arun Chaganty, Aditya Nori, Sriram Rajamani
Efficient Variational Inference for Gaussian Process Regression Networks
Trung Nguyen, Edwin Bonilla
Estimating the Partition Function of Graphical Models Using Langevin Importance Sampling
Jianzhu Ma, Jian Peng, Sheng Wang et al.
Evidence Estimation for Bayesian Partially Observed MRFs
Yutian Chen, Max Welling
Exact Learning of Bounded Tree-width Bayesian Networks
Janne Korhonen, Pekka Parviainen
Fast Near-GRID Gaussian Process Regression
Yuancheng Luo, Ramani Duraiswami
Further Optimal Regret Bounds for Thompson Sampling
Shipra Agrawal, Navin Goyal
Greedy Bilateral Sketch, Completion & Smoothing
Tianyi Zhou, Dacheng Tao
High-dimensional Inference via Lipschitz Sparsity-Yielding Regularizers
Zheng Pan, Changshui Zhang
Learning Markov Networks With Arithmetic Circuits
Daniel Lowd, Amirmohammad Rooshenas
Learning Social Infectivity in Sparse Low-rank Networks Using Multi-dimensional Hawkes Processes
Ke Zhou, Hongyuan Zha, Le Song
Learning to Top-K Search using Pairwise Comparisons
Brian Eriksson
Localization and Adaptation in Online Learning
Alexander Rakhlin, Ohad Shamir, Karthik Sridharan
Meta-Transportability of Causal Effects: A Formal Approach
Elias Bareinboim, Judea Pearl
Mixed LICORS: A Nonparametric Algorithm for Predictive State Reconstruction
Georg Goerg, Cosma Shalizi