Papers
Copula variational inference
Dustin Tran, David Blei, Edoardo M. Airoldi
Logarithmic Time Online Multiclass prediction
Anna E Choromanska, John Langford
Structured Estimation with Atomic Norms: General Bounds and Applications
Sheng Chen, Arindam Banerjee
Rate-Agnostic (Causal) Structure Learning
Sergey Plis, David Danks, Cynthia Freeman et al.
Deep Visual Analogy-Making
Scott E Reed, Yi Zhang, Yuting Zhang et al.
Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning
Shakir Mohamed, Danilo Jimenez Rezende
Adversarial Prediction Games for Multivariate Losses
Hong Wang, Wei Xing, Kaiser Asif et al.
A Universal Primal-Dual Convex Optimization Framework
Alp Yurtsever, Quoc Tran Dinh, Volkan Cevher
Adaptive Stochastic Optimization: From Sets to Paths
Zhan Wei Lim, David Hsu, Wee Sun Lee
Rectified Factor Networks
Djork-Arné Clevert, Andreas Mayr, Thomas Unterthiner et al.
Gradient Estimation Using Stochastic Computation Graphs
John Schulman, Nicolas Heess, Theophane Weber et al.
Mixed Robust/Average Submodular Partitioning: Fast Algorithms, Guarantees, and Applications
Kai Wei, Rishabh K Iyer, Shengjie Wang et al.
Bounding the Cost of Search-Based Lifted Inference
David B Smith, Vibhav G Gogate
Human Memory Search as Initial-Visit Emitting Random Walk
Kwang-Sung Jun, Xiaojin Zhu, Timothy T. Rogers et al.
Minimum Weight Perfect Matching via Blossom Belief Propagation
Sung-Soo Ahn, Sejun Park, Michael Chertkov et al.
Matrix Manifold Optimization for Gaussian Mixtures
Reshad Hosseini, Suvrit Sra
Learning Wake-Sleep Recurrent Attention Models
Jimmy Ba, Ruslan Salakhutdinov, Roger B Grosse et al.
Shepard Convolutional Neural Networks
Jimmy SJ Ren, Li Xu, Qiong Yan et al.
Collaboratively Learning Preferences from Ordinal Data
Sewoong Oh, Kiran K Thekumparampil, Jiaming Xu
Bayesian Active Model Selection with an Application to Automated Audiometry
Jacob Gardner, Gustavo Malkomes, Roman Garnett et al.
Deeply Learning the Messages in Message Passing Inference
Guosheng Lin, Chunhua Shen, Ian Reid et al.
Spectral Learning of Large Structured HMMs for Comparative Epigenomics
Chicheng Zhang, Jimin Song, Kamalika Chaudhuri et al.
Embedding Inference for Structured Multilabel Prediction
Farzaneh Mirzazadeh, Siamak Ravanbakhsh, Nan Ding et al.
Competitive Distribution Estimation: Why is Good-Turing Good
Alon Orlitsky, Ananda Theertha Suresh
Max-Margin Majority Voting for Learning from Crowds
TIAN TIAN, Jun Zhu