| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Fei Xia, Martin J. Zhang, James Y. Zou, David Tse |
NeuralFDR: Learning Discovery Thresholds from Hypothesis Features.  |
NIPS  |
2017 |
DBLP BibTeX RDF |
|
| 1 | Rishit Sheth, Roni Khardon |
Excess Risk Bounds for the Bayes Risk using Variational Inference in Latent Gaussian Models. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Wouter Boomsma, Jes Frellsen |
Spherical convolutions and their application in molecular modelling. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Slobodan Mitrovic, Ilija Bogunovic, Ashkan Norouzi-Fard, Jakub Tarnawski, Volkan Cevher |
Streaming Robust Submodular Maximization: A Partitioned Thresholding Approach. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Manzil Zaheer, Satwik Kottur, Siamak Ravanbakhsh, Barnabás Póczos, Ruslan Salakhutdinov, Alexander J. Smola |
Deep Sets. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Patrick Rebeschini, Sekhar Tatikonda |
Accelerated consensus via Min-Sum Splitting. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Mark Rowland, Adrian Weller |
Uprooting and Rerooting Higher-Order Graphical Models. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Ming-Yu Liu 0001, Thomas M. Breuel, Jan Kautz |
Unsupervised Image-to-Image Translation Networks. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Zhoutong Zhang, Qiujia Li, Zhengjia Huang, Jiajun Wu 0001, Josh Tenenbaum 0001, Bill Freeman |
Shape and Material from Sound. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Urs Köster, Tristan Webb, Xin Wang, Marcel Nassar, Arjun K. Bansal, William Constable, Oguz Elibol, Stewart Hall, Luke Hornof, Amir Khosrowshahi, Carey Kloss, Ruby J. Pai, Naveen Rao |
Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Paroma Varma, Bryan D. He, Payal Bajaj, Nishith Khandwala, Imon Banerjee, Daniel L. Rubin, Christopher Ré |
Inferring Generative Model Structure with Static Analysis. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Jeremiah Z. Liu, Brent A. Coull |
Robust Hypothesis Test for Nonlinear Effect with Gaussian Processes. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Mikko A. Heikkilä, Eemil Lagerspetz, Samuel Kaski, Kana Shimizu, Sasu Tarkoma, Antti Honkela |
Differentially private Bayesian learning on distributed data. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Sean Welleck, Jialin Mao, Kyunghyun Cho, Zheng Zhang 0001 |
Saliency-based Sequential Image Attention with Multiset Prediction. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Yuanyuan Liu 0001, Fanhua Shang, James Cheng, Hong Cheng 0001, Licheng Jiao |
Accelerated First-order Methods for Geodesically Convex Optimization on Riemannian Manifolds. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Aidan N. Gomez, Mengye Ren, Raquel Urtasun, Roger B. Grosse |
The Reversible Residual Network: Backpropagation Without Storing Activations. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Zahra Ghodsi, Tianyu Gu, Siddharth Garg |
SafetyNets: Verifiable Execution of Deep Neural Networks on an Untrusted Cloud. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Stefanos Eleftheriadis, Tom Nicholson, Marc Peter Deisenroth, James Hensman |
Identification of Gaussian Process State Space Models. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Adji Bousso Dieng, Dustin Tran, Rajesh Ranganath, John W. Paisley, David M. Blei |
Variational Inference via \chi Upper Bound Minimization. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Alberto Bietti, Julien Mairal |
Stochastic Optimization with Variance Reduction for Infinite Datasets with Finite Sum Structure. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Ingmar Kanitscheider, Ila Fiete |
Training recurrent networks to generate hypotheses about how the brain solves hard navigation problems. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Pan Li 0005, Olgica Milenkovic |
Inhomogeneous Hypergraph Clustering with Applications. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Alireza Aghasi, Afshin Abdi, Nam Nguyen, Justin Romberg |
Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Luiz F. O. Chamon, Alejandro Ribeiro |
Approximate Supermodularity Bounds for Experimental Design. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Emmanouil A. Platanios, Hoifung Poon, Tom M. Mitchell, Eric Horvitz |
Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Jaouad Mourtada, Stéphane Gaïffas, Erwan Scornet |
Universal consistency and minimax rates for online Mondrian Forests. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Antti Tarvainen, Harri Valpola |
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Aryan Mokhtari, Alejandro Ribeiro |
First-Order Adaptive Sample Size Methods to Reduce Complexity of Empirical Risk Minimization. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Andres Muñoz Medina, Sergei Vassilvitskii |
Revenue Optimization with Approximate Bid Predictions. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Chris J. Oates, Steven A. Niederer, Angela W. C. Lee, François-Xavier Briol, Mark A. Girolami |
Probabilistic Models for Integration Error in the Assessment of Functional Cardiac Models. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Hongyuan Mei, Jason Eisner |
The Neural Hawkes Process: A Neurally Self-Modulating Multivariate Point Process. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Roderich Gross, Yue Gu, Wei Li 0055, Melvin Gauci |
Generalizing GANs: A Turing Perspective. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Jiasen Lu, Anitha Kannan, Jianwei Yang, Devi Parikh, Dhruv Batra |
Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Yi Xu, Qihang Lin, Tianbao Yang |
Adaptive SVRG Methods under Error Bound Conditions with Unknown Growth Parameter. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Jaime S. Ide, Fabio Augusto Cappabianco, Fábio Augusto Faria, Chiang-shan R. Li |
Detrended Partial Cross Correlation for Brain Connectivity Analysis. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Mohammad Ali Bashiri, Xinhua Zhang |
Decomposition-Invariant Conditional Gradient for General Polytopes with Line Search. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Jun-Yan Zhu, Richard Zhang 0001, Deepak Pathak, Trevor Darrell, Alexei A. Efros, Oliver Wang, Eli Shechtman |
Toward Multimodal Image-to-Image Translation. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Stephen P. Boyd, Peter W. Glynn |
Stochastic Mirror Descent in Variationally Coherent Optimization Problems. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Yujia Li 0001, Alexander G. Schwing, Kuan-Chieh Wang, Richard S. Zemel |
Dualing GANs. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Song Liu 0002, Akiko Takeda, Taiji Suzuki, Kenji Fukumizu |
Trimmed Density Ratio Estimation. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Maithra Raghu, Justin Gilmer, Jason Yosinski, Jascha Sohl-Dickstein |
SVCCA: Singular Vector Canonical Correlation Analysis for Deep Learning Dynamics and Interpretability. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Shumeet Baluja |
Hiding Images in Plain Sight: Deep Steganography. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Mathieu Blondel, Vlad Niculae, Takuma Otsuka, Naonori Ueda |
Multi-output Polynomial Networks and Factorization Machines. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Dan Garber |
Efficient Online Linear Optimization with Approximation Algorithms. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Alex Kendall, Yarin Gal |
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Thomas Bonald, Richard Combes |
A Minimax Optimal Algorithm for Crowdsourcing. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Ahmet Alacaoglu, Quoc Tran-Dinh, Olivier Fercoq, Volkan Cevher |
Smooth Primal-Dual Coordinate Descent Algorithms for Nonsmooth Convex Optimization. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Stéphan Clémençon, Mastane Achab |
Ranking Data with Continuous Labels through Oriented Recursive Partitions. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Ilija Ilievski, Jiashi Feng |
Multimodal Learning and Reasoning for Visual Question Answering. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Jiajun Wu 0001, Yifan Wang, Tianfan Xue, Xingyuan Sun, Bill Freeman, Josh Tenenbaum 0001 |
MarrNet: 3D Shape Reconstruction via 2.5D Sketches. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Gabriel Parra, Felipe A. Tobar |
Spectral Mixture Kernels for Multi-Output Gaussian Processes. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Shuang Liu, Olivier Bousquet, Kamalika Chaudhuri |
Approximation and Convergence Properties of Generative Adversarial Learning. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Abhishek Kumar 0001, Prasanna Sattigeri, Tom Fletcher |
Semi-supervised Learning with GANs: Manifold Invariance with Improved Inference. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Sven Peter, Ferran Diego, Fred A. Hamprecht, Boaz Nadler |
Cost efficient gradient boosting. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Pan Ji, Tong Zhang 0023, Hongdong Li, Mathieu Salzmann, Ian D. Reid 0001 |
Deep Subspace Clustering Networks. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Vikas K. Garg, Tommi S. Jaakkola |
Local Aggregative Games. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Yarin Gal, Jiri Hron, Alex Kendall |
Concrete Dropout. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Haizi Yu, Tianxi Li, Lav R. Varshney |
Probabilistic Rule Realization and Selection. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Jeffrey Regier, Michael I. Jordan, Jon McAuliffe |
Fast Black-box Variational Inference through Stochastic Trust-Region Optimization. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Yu Liu, Jianshu Chen, Li Deng 0001 |
Unsupervised Sequence Classification using Sequential Output Statistics. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Siyuan Ma, Mikhail Belkin |
Diving into the shallows: a computational perspective on large-scale shallow learning. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Young Hun Jung, Jack Goetz, Ambuj Tewari |
Online multiclass boosting. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Kohei Hayashi, Yuichi Yoshida |
Fitting Low-Rank Tensors in Constant Time. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Addison Hu, Sahand Negahban |
Minimax Estimation of Bandable Precision Matrices. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Ronan Fruit, Matteo Pirotta, Alessandro Lazaric, Emma Brunskill |
Regret Minimization in MDPs with Options without Prior Knowledge. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Nico S. Gorbach, Stefan Bauer, Joachim M. Buhmann |
Scalable Variational Inference for Dynamical Systems. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher |
Fixed-Rank Approximation of a Positive-Semidefinite Matrix from Streaming Data. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Qi Li 0005, Zhenan Sun, Ran He 0001, Tieniu Tan |
Deep Supervised Discrete Hashing. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Mohammad Haris Baig, Vladlen Koltun, Lorenzo Torresani |
Learning to Inpaint for Image Compression. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Muhammad Farhan, Juvaria Tariq, Arif Zaman, Mudassir Shabbir, Imdadullah Khan |
Efficient Approximation Algorithms for Strings Kernel Based Sequence Classification. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Di Kang, Debarun Dhar, Antoni B. Chan |
Incorporating Side Information by Adaptive Convolution. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Fan Yang 0058, Zhilin Yang, William W. Cohen |
Differentiable Learning of Logical Rules for Knowledge Base Reasoning. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Chris Junchi Li, Mengdi Wang, Tong Zhang 0001 |
Diffusion Approximations for Online Principal Component Estimation and Global Convergence. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Piotr Indyk, Ilya P. Razenshteyn, Tal Wagner |
Practical Data-Dependent Metric Compression with Provable Guarantees. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Tri Dao, Christopher De Sa, Christopher Ré |
Gaussian Quadrature for Kernel Features. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Peva Blanchard, El Mahdi El Mhamdi, Rachid Guerraoui, Julien Stainer |
Machine Learning with Adversaries: Byzantine Tolerant Gradient Descent. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, Illia Polosukhin |
Attention is All you Need. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Fabian Pedregosa, Rémi Leblond, Simon Lacoste-Julien |
Breaking the Nonsmooth Barrier: A Scalable Parallel Method for Composite Optimization. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Wojciech M. Czarnecki, Simon Osindero, Max Jaderberg, Grzegorz Swirszcz, Razvan Pascanu |
Sobolev Training for Neural Networks. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Ofir Nachum, Mohammad Norouzi 0002, Kelvin Xu, Dale Schuurmans |
Bridging the Gap Between Value and Policy Based Reinforcement Learning. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Jonathan Zung, Ignacio Tartavull, Kisuk Lee, H. Sebastian Seung |
An Error Detection and Correction Framework for Connectomics. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Zhaohan Guo, Philip S. Thomas, Emma Brunskill |
Using Options and Covariance Testing for Long Horizon Off-Policy Policy Evaluation. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Aurko Roy, Huan Xu, Sebastian Pokutta |
Reinforcement Learning under Model Mismatch. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Josip Djolonga, Andreas Krause 0001 |
Differentiable Learning of Submodular Functions. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Le Fang, Fan Yang 0057, Wen Dong 0001, Tong Guan, Chunming Qiao |
Expectation Propagation with Stochastic Kinetic Model in Complex Interaction Systems. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Scott Yang, Mehryar Mohri |
Online Learning with Transductive Regret. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Jamie Hayes, George Danezis |
Generating steganographic images via adversarial training. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Aditi Raghunathan, Prateek Jain 0002, Ravishankar Krishnaswamy |
Learning Mixture of Gaussians with Streaming Data. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Zhan Shi, Xinhua Zhang, Yaoliang Yu |
Bregman Divergence for Stochastic Variance Reduction: Saddle-Point and Adversarial Prediction. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Yi Xu, Mingrui Liu, Qihang Lin, Tianbao Yang |
ADMM without a Fixed Penalty Parameter: Faster Convergence with New Adaptive Penalization. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Jinseok Nam, Eneldo Loza Mencía, Hyunwoo J. Kim, Johannes Fürnkranz |
Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-label Classification. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Flavio Chierichetti, Ravi Kumar 0001, Silvio Lattanzi, Sergei Vassilvitskii |
Fair Clustering Through Fairlets. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Niki Kilbertus, Mateo Rojas-Carulla, Giambattista Parascandolo, Moritz Hardt, Dominik Janzing, Bernhard Schölkopf |
Avoiding Discrimination through Causal Reasoning. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Weiwei Liu 0003, Xiao-Bo Shen, Ivor W. Tsang |
Sparse Embedded k-Means Clustering. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Eric Balkanski, Nicole Immorlica, Yaron Singer |
The Importance of Communities for Learning to Influence. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Keerthiram Murugesan, Jaime G. Carbonell |
Active Learning from Peers. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Arya Mazumdar, Barna Saha |
Query Complexity of Clustering with Side Information. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Moein Falahatgar, Mesrob I. Ohannessian, Alon Orlitsky, Venkatadheeraj Pichapati |
The power of absolute discounting: all-dimensional distribution estimation. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Yoav Wald, Amir Globerson |
Robust Conditional Probabilities. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Balaji Lakshminarayanan, Alexander Pritzel, Charles Blundell |
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
![[Valid RSS]](Pics/valid-rss.png "Validate my RSS feed")
data released under the ODC-BY 1.0 license