Papers
Message passing with l1 penalized KL minimization
Yuan Qi, Yandong Guo
Joint Transfer and Batch-mode Active Learning
Rita Chattopadhyay, Wei Fan, Ian Davidson et al.
Fastfood - Computing Hilbert Space Expansions in loglinear time
Quoc Le, Tamas Sarlos, Alexander Smola
The Most Generative Maximum Margin Bayesian Networks
Robert Peharz, Sebastian Tschiatschek, Franz Pernkopf
MAD-Bayes: MAP-based Asymptotic Derivations from Bayes
Tamara Broderick, Brian Kulis, Michael Jordan
An Efficient Posterior Regularized Latent Variable Model for Interactive Sound Source Separation
Nicholas Bryan, Gautham Mysore
Stochastic k-Neighborhood Selection for Supervised and Unsupervised Learning
Daniel Tarlow, Kevin Swersky, Laurent Charlin et al.
A Fast and Exact Energy Minimization Algorithm for Cycle MRFs
Huayan Wang, Koller Daphne
Learning from Human-Generated Lists
Kwang-Sung Jun, Jerry Zhu, Burr Settles et al.
Learning Sparse Penalties for Change-point Detection using Max Margin Interval Regression
Toby Hocking, Guillem Rigaill, Jean-Philippe Vert et al.
Tensor Analyzers
Yichuan Tang, Ruslan Salakhutdinov, Geoffrey Hinton
One-Bit Compressed Sensing: Provable Support and Vector Recovery
Sivakant Gopi, Praneeth Netrapalli, Prateek Jain et al.
Inference algorithms for pattern-based CRFs on sequence data
Rustem Takhanov, Vladimir Kolmogorov
Learning Multiple Behaviors from Unlabeled Demonstrations in a Latent Controller Space
Javier Almingol, Lui Montesano, Manuel Lopes
Thompson Sampling for Contextual Bandits with Linear Payoffs
Shipra Agrawal, Navin Goyal
Differentially Private Learning with Kernels
Prateek Jain, Abhradeep Thakurta
Efficient Ranking from Pairwise Comparisons
Fabian Wauthier, Michael Jordan, Nebojsa Jojic
Learning invariant features by harnessing the aperture problem
Roland Memisevic, Georgios Exarchakis
Guaranteed Sparse Recovery under Linear Transformation
Ji Liu, Lei Yuan, Jieping Ye
MILEAGE: Multiple Instance LEArning with Global Embedding
Dan Zhang, Jingrui He, Luo Si et al.
Markov Network Estimation From Multi-attribute Data
Mladen Kolar, Han Liu, Eric Xing
Optimistic Knowledge Gradient Policy for Optimal Budget Allocation in Crowdsourcing
Xi Chen, Qihang Lin, Dengyong Zhou
Bayesian Games for Adversarial Regression Problems
Michael Großhans, Christoph Sawade, Michael Brückner et al.
Multi-Class Classification with Maximum Margin Multiple Kernel
Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh