Papers
Cost efficient gradient boosting
Sven Peter, Ferran Diego, Fred A. Hamprecht et al.
Action Centered Contextual Bandits
Kristjan Greenewald, Ambuj Tewari, Susan Murphy et al.
OnACID: Online Analysis of Calcium Imaging Data in Real Time
Andrea Giovannucci, Johannes Friedrich, Matt Kaufman et al.
Rigorous Dynamics and Consistent Estimation in Arbitrarily Conditioned Linear Systems
Alyson K. Fletcher, Mojtaba Sahraee-Ardakan, Sundeep Rangan et al.
Concentration of Multilinear Functions of the Ising Model with Applications to Network Data
Constantinos Daskalakis, Nishanth Dikkala, Gautam Kamath
SVD-Softmax: Fast Softmax Approximation on Large Vocabulary Neural Networks
Kyuhong Shim, Minjae Lee, Iksoo Choi et al.
Learning spatiotemporal piecewise-geodesic trajectories from longitudinal manifold-valued data
Stéphanie ALLASSONNIERE, Juliette Chevallier, Stephane Oudard
Estimating High-dimensional Non-Gaussian Multiple Index Models via Stein’s Lemma
Zhuoran Yang, Krishnakumar Balasubramanian, Zhaoran Wang et al.
Model evidence from nonequilibrium simulations
Michael Habeck
Adversarial Symmetric Variational Autoencoder
Yuchen Pu, Weiyao Wang, Ricardo Henao et al.
Learning to See Physics via Visual De-animation
Jiajun Wu, Erika Lu, Pushmeet Kohli et al.
Deconvolutional Paragraph Representation Learning
Yizhe Zhang, Dinghan Shen, Guoyin Wang et al.
Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space
Liwei Wang, Alexander Schwing, Svetlana Lazebnik
Selective Classification for Deep Neural Networks
Yonatan Geifman, Ran El-Yaniv
Practical Data-Dependent Metric Compression with Provable Guarantees
Piotr Indyk, Ilya Razenshteyn, Tal Wagner
Ensemble Sampling
Xiuyuan Lu, Benjamin Van Roy
Universal Style Transfer via Feature Transforms
Yijun Li, Chen Fang, Jimei Yang et al.
Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration
Jason Altschuler, Jonathan Niles-Weed, Philippe Rigollet
Learning to Pivot with Adversarial Networks
Gilles Louppe, Michael Kagan, Kyle Cranmer
SGD Learns the Conjugate Kernel Class of the Network
Amit Daniely
Linear Time Computation of Moments in Sum-Product Networks
Han Zhao, Geoffrey J. Gordon
Variational Walkback: Learning a Transition Operator as a Stochastic Recurrent Net
Anirudh Goyal ALIAS PARTH GOYAL, Nan Rosemary Ke, Surya Ganguli et al.
Contrastive Learning for Image Captioning
Bo Dai, Dahua Lin
Zap Q-Learning
Adithya M Devraj, Sean Meyn