#paper pool for reading groups:
- [Multiview LSA: Representation Learning via Generalized CCA] (http://www.cs.jhu.edu/~prastog3/mvlsa/mvlsa.pdf) by Rantogi, Durme and Arora. NAACL 2015.
- Learning Distributed Representations for Structured Output Prediction by Srikumar and Manning. NIPS 2014
- Expectation-Maximization for Learning Determinantal Point Processes by Gillenwater et al. NIPS 2014
- Spectral Learning of Mixture of Hidden Markov Models by Subakan et al. NIPS 2014
- Asynchronous Anytime Sequential Monte Carlo Paige et al. NIPS 2014
- A* Sampling Maddison et al. NIPS 2014
- Sequence to Sequence Learning with Neural Networks Sutskever et al. NIPS 2014
- Admixture of Poisson MRFs: A Topic Model with Word Dependencies Inouye et al. JMLR 2014
- Blossom Trees Graphical Models Liu and Lafferty. NIPS 2014
- Statistical Comparisons of Classifiers over Multiple Data Sets Janez Demsar
- A Comparative Study of Parameter Estimation Methods for Statistical Natural Language Processing Gao et al., ACL 2007
- (Spectral) Learning Mixtures of Linear Classifiers Yuekai Sun, Stratis Ioannidis, Andrea Montanari
- Data point selection for cross-language adaptation of dependency parsers Anders Sogaard. ACL 2011.
- Multi-View Learning of Word Embeddings via CCA Paramveer S. Dhillon, Dean Foster, Lyle Ungar. NIPS 2011.
- Estimating Latent-Variable Graphical Models using Moments and Likelihoods Arun Tejasvi Chaganty and Percy Liang. ICML 2014.
- Kernel Embeddings of Conditional Distributions Le Song, Kenji Fukumizu and Arthur Gretton. 2013.
- Trading Convexity for Scalability Collobert et al. 2006.
- Pragmatic Neural Language Modelling in Machine Translation Baltescu and Blunsom. arXiv 2015.
- Learning to Understand Phrases by Embedding the Dictionary Felix Hill, Kyunghyun Cho, Anna Korhonen, Yoshua Bengio. arXiv 2015.
- Efficient Learning using Forward-Backward Splitting Singer and Duchi. NIPS 2009.
- (NN) Efficient BackProp (a recent reproduction) Yann LeCun, Leon Bottou, Genevieve B. Orr, Klaus-Robert Muller. 1998 then Springer 2012.
- (NN) Gated Softmax Classification Roland Memisevic, Christopher Zach, Geoffrey Hinton and Marc Pollefeys. NIPS 2010.
- (coref) Entity-Centric Coreference Resolution with Model Stacking Kevin Clark and Chris Manning. ACL 2015.