Papers
Learning Fair Representations
Rich Zemel, Yu Wu, Kevin Swersky et al.
Unfolding Latent Tree Structures using 4th Order Tensors
Mariya Ishteva, Haesun Park, Le Song
Safe Policy Iteration
Matteo Pirotta, Marcello Restelli, Alessio Pecorino et al.
Robust and Discriminative Self-Taught Learning
Hua Wang, Feiping Nie, Heng Huang
Smooth Sparse Coding via Marginal Regression for Learning Sparse Representations
Krishnakumar Balasubramanian, Kai Yu, Guy Lebanon
Top-down particle filtering for Bayesian decision trees
Balaji Lakshminarayanan, Daniel Roy, Yee Whye Teh
Mean Reversion with a Variance Threshold
Marco Cuturi, Alexandre D’Aspremont
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