Papers
Low-density Parity Constraints for Hashing-Based Discrete Integration
Stefano Ermon, Carla Gomes, Ashish Sabharwal et al.
Learning Theory and Algorithms for revenue optimization in second price auctions with reserve
Mehryar Mohri, Andres Munoz Medina
Robust RegBayes: Selectively Incorporating First-Order Logic Domain Knowledge into Bayesian Models
Shike Mei, Jun Zhu, Jerry Zhu
Margins, Kernels and Non-linear Smoothed Perceptrons
Aaditya Ramdas, Javier Peña
Factorized Point Process Intensities: A Spatial Analysis of Professional Basketball
Andrew Miller, Luke Bornn, Ryan Adams et al.
Towards Minimax Online Learning with Unknown Time Horizon
Haipeng Luo, Robert Schapire
Latent Variable Copula Inference for Bundle Pricing from Retail Transaction Data
Benjamin Letham, Wei Sun, Anshul Sheopuri
A Consistent Histogram Estimator for Exchangeable Graph Models
Stanley Chan, Edoardo Airoldi
The Inverse Regression Topic Model
Maxim Rabinovich, David Blei
Understanding the Limiting Factors of Topic Modeling via Posterior Contraction Analysis
Jian Tang, Zhaoshi Meng, Xuanlong Nguyen et al.
Austerity in MCMC Land: Cutting the Metropolis-Hastings Budget
Anoop Korattikara, Yutian Chen, Max Welling
Buffer k-d Trees: Processing Massive Nearest Neighbor Queries on GPUs
Fabian Gieseke, Justin Heinermann, Cosmin Oancea et al.
Convergence rates for persistence diagram estimation in Topological Data Analysis
Frédéric Chazal, Marc Glisse, Catherine Labruère et al.
Von Mises-Fisher Clustering Models
Siddharth Gopal, Yiming Yang
Fast Allocation of Gaussian Process Experts
Trung Nguyen, Edwin Bonilla
Latent Bandits.
Odalric-Ambrym Maillard, Shie Mannor
Scaling Up Approximate Value Iteration with Options: Better Policies with Fewer Iterations
Timothy Mann, Shie Mannor
A Statistical Convergence Perspective of Algorithms for Rank Aggregation from Pairwise Data
Arun Rajkumar, Shivani Agarwal
Boosting multi-step autoregressive forecasts
Souhaib Ben Taieb, Rob Hyndman
Thompson Sampling for Complex Online Problems
Aditya Gopalan, Shie Mannor, Yishay Mansour
A Statistical Perspective on Algorithmic Leveraging
Ping Ma, Michael Mahoney, Bin Yu
Recurrent Convolutional Neural Networks for Scene Labeling
Pedro Pinheiro, Ronan Collobert
Accelerated Proximal Stochastic Dual Coordinate Ascent for Regularized Loss Minimization
Shai Shalev-Shwartz, Tong Zhang
Active Detection via Adaptive Submodularity
Yuxin Chen, Hiroaki Shioi, Cesar Fuentes Montesinos et al.