Papers
Greedy Direction Method of Multiplier for MAP Inference of Large Output Domain
Xiangru Huang, Ian En-Hsu Yen, Ruohan Zhang et al.
Non-Count Symmetries in Boolean & Multi-Valued Prob. Graphical Models
Ankit Anand, Ritesh Noothigattu, Parag Singla et al.
Learning Graphical Games from Behavioral Data: Sufficient and Necessary Conditions
Asish Ghoshal, Jean Honorio
Robust Causal Estimation in the Large-Sample Limit without Strict Faithfulness
Ioan Gabriel Bucur, Tom Claassen, Tom Heskes
Scalable Convex Multiple Sequence Alignment via Entropy-Regularized Dual Decomposition
Jiong Zhang, Ian En-Hsu Yen, Pradeep Ravikumar et al.
Automated Inference with Adaptive Batches
Soham De, Abhay Yadav, David Jacobs et al.
Convergence Rate of Stochastic k-means
Cheng Tang, Claire Monteleoni
Value-Aware Loss Function for Model-based Reinforcement Learning
Amir-Massoud Farahmand, Andre Barreto, Daniel Nikovski
A Maximum Matching Algorithm for Basis Selection in Spectral Learning
Ariadna Quattoni, Xavier Carreras, Matthias Gallé
Sequential Multiple Hypothesis Testing with Type I Error Control
Alan Malek, Sumeet Katariya, Yinlam Chow et al.
Learning from Conditional Distributions via Dual Embeddings
Bo Dai, Niao He, Yunpeng Pan et al.
Label Filters for Large Scale Multilabel Classification
Alexandru Niculescu-Mizil, Ehsan Abbasnejad
Spectral Methods for Correlated Topic Models
Forough Arabshahi, Anima Anandkumar
Distributed Adaptive Sampling for Kernel Matrix Approximation
Daniele Calandriello, Alessandro Lazaric, Michal Valko
Distribution of Gaussian Process Arc Lengths
Justin Bewsher, Alessandra Tosi, Michael Osborne et al.
Efficient Online Multiclass Prediction on Graphs via Surrogate Losses
Alexander Rakhlin, Karthik Sridharan
Optimal Recovery of Tensor Slices
Vivek Farias, Andrew Li
Initialization and Coordinate Optimization for Multi-way Matching
Da Tang, Tony Jebara
Linking Micro Event History to Macro Prediction in Point Process Models
Yichen Wang, Xiaojing Ye, Haomin Zhou et al.
On the Interpretability of Conditional Probability Estimates in the Agnostic Setting
Yihan Gao, Aditya Parameswaran, Jian Peng
Information Projection and Approximate Inference for Structured Sparse Variables
Rajiv Khanna, Joydeep Ghosh, Rusell Poldrack et al.
Active Positive Semidefinite Matrix Completion: Algorithms, Theory and Applications
Aniruddha Bhargava, Ravi Ganti, Rob Nowak
Inference Compilation and Universal Probabilistic Programming
Tuan Anh Le, Atilim Gunes Baydin, Frank Wood
Spatial Decompositions for Large Scale SVMs
Philipp Thomann, Ingrid Blaschzyk, Mona Meister et al.