Papers
Local Perturb-and-MAP for Structured Prediction
Gedas Bertasius, Qiang Liu, Lorenzo Torresani et al.
Lower Bounds on Active Learning for Graphical Model Selection
Jonathan Scarlett, Volkan Cevher
Markov Chain Truncation for Doubly-Intractable Inference
Colin Wei, Iain Murray
Minimax Approach to Variable Fidelity Data Interpolation
Alexey Zaytsev, Evgeny Burnaev
Minimax Density Estimation for Growing Dimension
Daniel McDonald
Minimax Gaussian Classification & Clustering
Tianyang Li, Xinyang Yi, Constantine Carmanis et al.
Minimax-optimal semi-supervised regression on unknown manifolds
Amit Moscovich, Ariel Jaffe, Nadler Boaz
Modal-set estimation with an application to clustering
Heinrich Jiang, Samory Kpotufe
Nearly Instance Optimal Sample Complexity Bounds for Top-k Arm Selection
Lijie Chen, Jian Li, Mingda Qiao
Near-optimal Bayesian Active Learning with Correlated and Noisy Tests
Yuxin Chen, Hamed Hassani, Andreas Krause
Non-Count Symmetries in Boolean & Multi-Valued Prob. Graphical Models
Ankit Anand, Ritesh Noothigattu, Parag Singla et al.
Nonlinear ICA of Temporally Dependent Stationary Sources
Aapo Hyvarinen, Hiroshi Morioka
Non-square matrix sensing without spurious local minima via the Burer-Monteiro approach
Dohyung Park, Anastasios Kyrillidis, Constantine Carmanis et al.
Online Learning and Blackwell Approachability with Partial Monitoring: Optimal Convergence Rates
Joon Kwon, Vianney Perchet
Online Nonnegative Matrix Factorization with General Divergences
Renbo Zhao, Vincent Tan, Huan Xu
Online Optimization of Smoothed Piecewise Constant Functions
Vincent Cohen-Addad, Varun Kanade
On the Hyperprior Choice for the Global Shrinkage Parameter in the Horseshoe Prior
Juho Piironen, Aki Vehtari
On the Interpretability of Conditional Probability Estimates in the Agnostic Setting
Yihan Gao, Aditya Parameswaran, Jian Peng
On the Learnability of Fully-Connected Neural Networks
Yuchen Zhang, Jason Lee, Martin Wainwright et al.
On the Troll-Trust Model for Edge Sign Prediction in Social Networks
Géraud Le Falher, Nicolo Cesa-Bianchi, Claudio Gentile et al.
Optimal Recovery of Tensor Slices
Vivek Farias, Andrew Li
Optimistic Planning for the Stochastic Knapsack Problem
Ciara Pike-Burke, Steffen Grunewalder
Performance Bounds for Graphical Record Linkage
Rebecca C. Steorts, Mattew Barnes, Willie Neiswanger
Phase Retrieval Meets Statistical Learning Theory: A Flexible Convex Relaxation
Sohail Bahmani, Justin Romberg
Poisson intensity estimation with reproducing kernels
Seth Flaxman, Yee Whye Teh, Dino Sejdinovic