Papers
Budget Allocation Problem with Multiple Advertisers: A Game Theoretic View
Takanori Maehara, Akihiro Yabe, Ken-ichi Kawarabayashi
Pushing the Limits of Affine Rank Minimization by Adapting Probabilistic PCA
Bo Xin, David Wipf
The Benefits of Learning with Strongly Convex Approximate Inference
Ben London, Bert Huang, Lise Getoor
A Provable Generalized Tensor Spectral Method for Uniform Hypergraph Partitioning
Debarghya Ghoshdastidar, Ambedkar Dukkipati
Structural Maxent Models
Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri et al.
Paired-Dual Learning for Fast Training of Latent Variable Hinge-Loss MRFs
Stephen Bach, Bert Huang, Jordan Boyd-Graber et al.
Spectral MLE: Top-K Rank Aggregation from Pairwise Comparisons
Yuxin Chen, Changho Suh
DiSCO: Distributed Optimization for Self-Concordant Empirical Loss
Yuchen Zhang, Xiao Lin
Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization
Yuchen Zhang, Xiao Lin
A General Analysis of the Convergence of ADMM
Robert Nishihara, Laurent Lessard, Ben Recht et al.
Mind the duality gap: safer rules for the Lasso
Olivier Fercoq, Alexandre Gramfort, Joseph Salmon
PeakSeg: constrained optimal segmentation and supervised penalty learning for peak detection in count data
Toby Hocking, Guillem Rigaill, Guillaume Bourque
Generalization error bounds for learning to rank: Does the length of document lists matter?
Ambuj Tewari, Sougata Chaudhuri
Theory of Dual-sparse Regularized Randomized Reduction
Tianbao Yang, Lijun Zhang, Rong Jin et al.
High Dimensional Bayesian Optimisation and Bandits via Additive Models
Kirthevasan Kandasamy, Jeff Schneider, Barnabas Poczos
Telling cause from effect in deterministic linear dynamical systems
Naji Shajarisales, Dominik Janzing, Bernhard Schoelkopf et al.
A Modified Orthant-Wise Limited Memory Quasi-Newton Method with Convergence Analysis
Pinghua Gong, Jieping Ye
Dynamic Sensing: Better Classification under Acquisition Constraints
Oran Richman, Shie Mannor
Classification with Low Rank and Missing Data
Elad Hazan, Roi Livni, Yishay Mansour
Atomic Spatial Processes
Sean Jewell, Neil Spencer, Alexandre Bouchard-Côté
Accelerated Online Low Rank Tensor Learning for Multivariate Spatiotemporal Streams
Rose Yu, Dehua Cheng, Yan Liu
Functional Subspace Clustering with Application to Time Series
Mohammad Taha Bahadori, David Kale, Yingying Fan et al.
A Relative Exponential Weighing Algorithm for Adversarial Utility-based Dueling Bandits
Pratik Gajane, Tanguy Urvoy, Fabrice Clérot
Coresets for Nonparametric Estimation - the Case of DP-Means
Olivier Bachem, Mario Lucic, Andreas Krause
Optimizing Non-decomposable Performance Measures: A Tale of Two Classes
Harikrishna Narasimhan, Purushottam Kar, Prateek Jain