Papers
Streaming Min-max Hypergraph Partitioning
Dan Alistarh, Jennifer Iglesias, Milan Vojnovic
Learning structured densities via infinite dimensional exponential families
Siqi Sun, Mladen Kolar, Jinbo Xu
Exploring Models and Data for Image Question Answering
Mengye Ren, Ryan Kiros, Richard Zemel
Reflection, Refraction, and Hamiltonian Monte Carlo
Hadi Mohasel Afshar, Justin Domke
Regularization Path of Cross-Validation Error Lower Bounds
Atsushi Shibagaki, Yoshiki Suzuki, Masayuki Karasuyama et al.
Mind the Gap: A Generative Approach to Interpretable Feature Selection and Extraction
Been Kim, Julie A Shah, Finale Doshi-Velez
Sample Efficient Path Integral Control under Uncertainty
Yunpeng Pan, Evangelos Theodorou, Michail Kontitsis
Sample Complexity of Learning Mahalanobis Distance Metrics
Nakul Verma, Kristin Branson
Probabilistic Line Searches for Stochastic Optimization
Maren Mahsereci, Philipp Hennig
Large-Scale Bayesian Multi-Label Learning via Topic-Based Label Embeddings
Piyush Rai, Changwei Hu, Ricardo Henao et al.
Communication Complexity of Distributed Convex Learning and Optimization
Yossi Arjevani, Ohad Shamir
Fast Convergence of Regularized Learning in Games
Vasilis Syrgkanis, Alekh Agarwal, Haipeng Luo et al.
A Gaussian Process Model of Quasar Spectral Energy Distributions
Andrew Miller, Albert Wu, Jeff Regier et al.
Efficient Exact Gradient Update for training Deep Networks with Very Large Sparse Targets
Pascal Vincent, Alexandre de Brébisson, Xavier Bouthillier
Online Rank Elicitation for Plackett-Luce: A Dueling Bandits Approach
Balázs Szörényi, Róbert Busa-Fekete, Adil Paul et al.
Mixing Time Estimation in Reversible Markov Chains from a Single Sample Path
Daniel J. Hsu, Aryeh Kontorovich, Csaba Szepesvari
Space-Time Local Embeddings
Ke Sun, Jun Wang, Alexandros Kalousis et al.
A Generalization of Submodular Cover via the Diminishing Return Property on the Integer Lattice
Tasuku Soma, Yuichi Yoshida
A Market Framework for Eliciting Private Data
Bo Waggoner, Rafael Frongillo, Jacob D. Abernethy
Scale Up Nonlinear Component Analysis with Doubly Stochastic Gradients
Bo Xie, Yingyu Liang, Le Song
Bandits with Unobserved Confounders: A Causal Approach
Elias Bareinboim, Andrew Forney, Judea Pearl
A Structural Smoothing Framework For Robust Graph Comparison
Pinar Yanardag, S.V.N. Vishwanathan
Statistical Topological Data Analysis - A Kernel Perspective
Roland Kwitt, Stefan Huber, Marc Niethammer et al.
Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems
Yuxin Chen, Emmanuel Candes
Online Learning with Adversarial Delays
Kent Quanrud, Daniel Khashabi