Statistical Learning
Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms
Shahana Ibrahim, Xiao Fu, Nikolaos Kargas, Kejun Huang
Neural Information Processing Systems http://nips.cc/
c0c783b5fc0d7d808f1d14a6e9c8280d-Paper.pdf
A major hurdle in this study is that implicit regularization in deep learning seems to kick in only withcertain types ofdata(notwithrandom dataforexample), andwelackmathematical tools for reasoning about real-life data. Thus one needs a simple test-bed for the investigation, where data admits a crisp mathematical formulation. Following earlier works, we focus on the problem of matrix completion: given a randomly chosen subset of entries from an unknown matrixW, the taskistorecovertheunseen entries. Tocastthisasaprediction problem, wemayvieweach entry inW as a data point: observed entries constitute the training set, and the average reconstruction error over the unobserved entries is the test error,quantifying generalization. Fitting the observed entries is obviously an underdetermined problem with multiple solutions.
Modeling Dynamic Functional Connectivity with Latent Factor Gaussian Processes
Lingge Li, Dustin Pluta, Babak Shahbaba, Norbert Fortin, Hernando Ombao, Pierre Baldi
Neural Information Processing Systems http://nips.cc/
Sigsoftmax: Reanalysis of the Softmax Bottleneck
Sekitoshi Kanai, Yasuhiro Fujiwara, Yuki Yamanaka, Shuichi Adachi
Neural Information Processing Systems http://nips.cc/
Stochastic Frank-Wolfe for Composite Convex Minimization
Francesco Locatello, Alp Yurtsever, Olivier Fercoq, Volkan Cevher
Neural Information Processing Systems http://nips.cc/
6e73c39cc428c7d264d9820319f31e79-Paper-Conference.pdf
We study benign overfitting in two-layer ReLU networks trained using gradient descent and hinge loss on noisy data for binary classification.
Stimulus domain transfer in recurrent models for large scale cortical population prediction on video
Fabian Sinz, Alexander S. Ecker, Paul Fahey, Edgar Walker, Erick Cobos, Emmanouil Froudarakis, Dimitri Yatsenko, Zachary Pitkow, Jacob Reimer, Andreas Tolias
Neural Information Processing Systems http://nips.cc/
Autoconj: Recognizing and Exploiting Conjugacy Without a Domain-Specific Language
Neural Information Processing Systems http://nips.cc/