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Results
Found 7280 publication records. Showing 7280 according to the selection in the facets
| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Nicolas Courty, Rémi Flamary, Amaury Habrard, Alain Rakotomamonjy |
Joint distribution optimal transportation for domain adaptation.  |
NIPS  |
2017 |
DBLP BibTeX RDF |
|
| 1 | Andreas M. Lehrmann, Leonid Sigal |
Non-parametric Structured Output Networks. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Youssef Mroueh, Tom Sercu |
Fisher GAN. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Hugh Salimbeni, Marc Peter Deisenroth |
Doubly Stochastic Variational Inference for Deep Gaussian Processes. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Liwei Wang 0009, Alexander G. Schwing, Svetlana Lazebnik |
Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Hyeji Kim, Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath |
Discovering Potential Correlations via Hypercontractivity. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Klaus Greff, Sjoerd van Steenkiste, Jürgen Schmidhuber |
Neural Expectation Maximization. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Cesar F. Caiafa, Olaf Sporns, Andrew J. Saykin, Franco Pestilli |
Unified representation of tractography and diffusion-weighted MRI data using sparse multidimensional arrays. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Mingzhe Wang, Yihe Tang, Jian Wang, Jia Deng 0001 |
Premise Selection for Theorem Proving by Deep Graph Embedding. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Arya Mazumdar, Soumyabrata Pal |
Semisupervised Clustering, AND-Queries and Locally Encodable Source Coding. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Bo Jiang 0002, Jin Tang 0001, Chris Ding, Yihong Gong, Bin Luo 0001 |
Graph Matching via Multiplicative Update Algorithm. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Christos Louizos, Karen Ullrich, Max Welling |
Bayesian Compression for Deep Learning. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Hongseok Namkoong, John C. Duchi |
Variance-based Regularization with Convex Objectives. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Tianxiao Shen, Tao Lei 0001, Regina Barzilay, Tommi S. Jaakkola |
Style Transfer from Non-Parallel Text by Cross-Alignment. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Qinshi Wang, Wei Chen 0013 |
Improving Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms and Its Applications. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Dan Xu 0002, Wanli Ouyang, Xavier Alameda-Pineda, Elisa Ricci 0001, Xiaogang Wang 0001, Nicu Sebe |
Learning Deep Structured Multi-Scale Features using Attention-Gated CRFs for Contour Prediction. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Hakan Inan, Murat A. Erdogdu, Mark J. Schnitzer |
Robust Estimation of Neural Signals in Calcium Imaging. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Rong Ge 0001, Tengyu Ma 0001 |
On the Optimization Landscape of Tensor Decompositions. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Can Karakus, Yifan Sun 0001, Suhas N. Diggavi, Wotao Yin |
Straggler Mitigation in Distributed Optimization Through Data Encoding. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | James McInerney |
An Empirical Bayes Approach to Optimizing Machine Learning Algorithms. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Shixiang Gu, Tim Lillicrap, Richard E. Turner, Zoubin Ghahramani, Bernhard Schölkopf, Sergey Levine |
Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Christoph D. Hofer, Roland Kwitt, Marc Niethammer, Andreas Uhl |
Deep Learning with Topological Signatures. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Damien Scieur, Francis R. Bach, Alexandre d'Aspremont |
Nonlinear Acceleration of Stochastic Algorithms. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Santiago R. Balseiro, Max Lin, Vahab S. Mirrokni, Renato Paes Leme, Song Zuo |
Dynamic Revenue Sharing. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Long Jin 0001, Justin Lazarow, Zhuowen Tu |
Introspective Classification with Convolutional Nets. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | MohammadHossein Bateni, Soheil Behnezhad, Mahsa Derakhshan, MohammadTaghi Hajiaghayi, Raimondas Kiveris, Silvio Lattanzi, Vahab S. Mirrokni |
Affinity Clustering: Hierarchical Clustering at Scale. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Sergey Ioffe |
Batch Renormalization: Towards Reducing Minibatch Dependence in Batch-Normalized Models. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Yuting Wei, Fanny Yang, Martin J. Wainwright |
Early stopping for kernel boosting algorithms: A general analysis with localized complexities. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Dominique Joncas, Marina Meila, James McQueen |
Improved Graph Laplacian via Geometric Self-Consistency. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Mingrui Liu, Tianbao Yang |
Adaptive Accelerated Gradient Converging Method under H"{o}lderian Error Bound Condition. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Gang Wang 0014, Georgios B. Giannakis, Yousef Saad, Jie Chen 0003 |
Solving Most Systems of Random Quadratic Equations. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Alberto García-Durán, Mathias Niepert |
Learning Graph Representations with Embedding Propagation. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Qinliang Su, Xuejun Liao, Lawrence Carin |
A Probabilistic Framework for Nonlinearities in Stochastic Neural Networks. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Ishaan Gulrajani, Faruk Ahmed, Martín Arjovsky, Vincent Dumoulin, Aaron C. Courville |
Improved Training of Wasserstein GANs. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Zhou Lu, Hongming Pu, Feicheng Wang, Zhiqiang Hu, Liwei Wang 0001 |
The Expressive Power of Neural Networks: A View from the Width. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Jiajun Wu 0001, Erika Lu, Pushmeet Kohli, Bill Freeman, Josh Tenenbaum 0001 |
Learning to See Physics via Visual De-animation. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Prateep Bhattacharjee, Sukhendu Das |
Temporal Coherency based Criteria for Predicting Video Frames using Deep Multi-stage Generative Adversarial Networks. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Nanyang Ye 0001, Zhanxing Zhu, Rafal Mantiuk |
Langevin Dynamics with Continuous Tempering for Training Deep Neural Networks. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Roel Dobbe, David Fridovich-Keil, Claire J. Tomlin |
Fully Decentralized Policies for Multi-Agent Systems: An Information Theoretic Approach. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Chris Russell 0001, Matt J. Kusner, Joshua R. Loftus, Ricardo Silva |
When Worlds Collide: Integrating Different Counterfactual Assumptions in Fairness. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Kevin Tian, Weihao Kong, Gregory Valiant |
Learning Populations of Parameters. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi, Adrian Weller |
From Parity to Preference-based Notions of Fairness in Classification. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Sungsoo Ahn, Michael Chertkov, Jinwoo Shin |
Gauging Variational Inference. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Mohammad Reza Karimi, Mario Lucic, S. Hamed Hassani, Andreas Krause 0001 |
Stochastic Submodular Maximization: The Case of Coverage Functions. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Kevin Lin, James Sharpnack, Alessandro Rinaldo, Ryan J. Tibshirani |
A Sharp Error Analysis for the Fused Lasso, with Application to Approximate Changepoint Screening. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Michael Kamp, Mario Boley, Olana Missura, Thomas Gärtner 0001 |
Effective Parallelisation for Machine Learning. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Cong Fang 0001, Feng Cheng, Zhouchen Lin |
Faster and Non-ergodic O(1/K) Stochastic Alternating Direction Method of Multipliers. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Chao Pan, Michael Zhu |
Group Additive Structure Identification for Kernel Nonparametric Regression. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Søren Dahlgaard, Mathias Bæk Tejs Knudsen, Mikkel Thorup |
Practical Hash Functions for Similarity Estimation and Dimensionality Reduction. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Adarsh Prasad, Alexandru Niculescu-Mizil, Pradeep Ravikumar |
On Separability of Loss Functions, and Revisiting Discriminative Vs Generative Models. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Matthäus Kleindessner, Ulrike von Luxburg |
Kernel functions based on triplet comparisons. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Joseph Geumlek, Shuang Song 0001, Kamalika Chaudhuri |
Renyi Differential Privacy Mechanisms for Posterior Sampling. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Tu Dinh Nguyen, Trung Le, Hung Vu, Dinh Q. Phung |
Dual Discriminator Generative Adversarial Nets. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Kirill Neklyudov, Dmitry Molchanov, Arsenii Ashukha, Dmitry P. Vetrov |
Structured Bayesian Pruning via Log-Normal Multiplicative Noise. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Constantinos Daskalakis, Nishanth Dikkala, Gautam Kamath 0001 |
Concentration of Multilinear Functions of the Ising Model with Applications to Network Data. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Nicholas Watters, Daniel Zoran, Theophane Weber, Peter W. Battaglia, Razvan Pascanu, Andrea Tacchetti |
Visual Interaction Networks: Learning a Physics Simulator from Video. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Ksenia Konyushkova, Raphael Sznitman, Pascal Fua |
Learning Active Learning from Data. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | William L. Hamilton, Zhitao Ying, Jure Leskovec |
Inductive Representation Learning on Large Graphs. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Kevin Lin, Dianqi Li, Xiaodong He 0001, Ming-Ting Sun, Zhengyou Zhang |
Adversarial Ranking for Language Generation. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Yung-Kyun Noh, Masashi Sugiyama, Kee-Eung Kim, Frank C. Park 0001, Daniel D. Lee |
Generative Local Metric Learning for Kernel Regression. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Ashia C. Wilson, Rebecca Roelofs, Mitchell Stern, Nati Srebro, Benjamin Recht |
The Marginal Value of Adaptive Gradient Methods in Machine Learning. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Rebecca E. Morrison, Ricardo Baptista, Youssef M. Marzouk |
Beyond normality: Learning sparse probabilistic graphical models in the non-Gaussian setting. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Bryan McCann, James Bradbury 0002, Caiming Xiong, Richard Socher |
Learned in Translation: Contextualized Word Vectors. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Arthur Mensch, Julien Mairal, Danilo Bzdok, Bertrand Thirion, Gaël Varoquaux |
Learning Neural Representations of Human Cognition across Many fMRI Studies. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Daniil Ryabko |
Independence clustering (without a matrix). |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Fanny Yang, Aaditya Ramdas, Kevin G. Jamieson, Martin J. Wainwright |
A framework for Multi-A(rmed)/B(andit) Testing with Online FDR Control. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Pan Xu 0002, Jian Ma 0004, Quanquan Gu |
Speeding Up Latent Variable Gaussian Graphical Model Estimation via Nonconvex Optimization. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Ryan J. Tibshirani |
Dykstra's Algorithm, ADMM, and Coordinate Descent: Connections, Insights, and Extensions. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Manasi Vartak, Arvind Thiagarajan, Conrado Miranda, Jeshua Bratman, Hugo Larochelle |
A Meta-Learning Perspective on Cold-Start Recommendations for Items. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Daniel Milstein, Jason Pacheco, Leigh J. Hochberg, John D. Simeral, Beata Jarosiewicz, Erik B. Sudderth |
Multiscale Semi-Markov Dynamics for Intracortical Brain-Computer Interfaces. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Wataru Kumagai |
Regret Analysis for Continuous Dueling Bandit. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Jie Shen 0005, Ping Li 0001 |
Partial Hard Thresholding: Towards A Principled Analysis of Support Recovery. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Lihua Lei, Cheng Ju, Jianbo Chen, Michael I. Jordan |
Non-convex Finite-Sum Optimization Via SCSG Methods. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Vasilis Syrgkanis |
A Sample Complexity Measure with Applications to Learning Optimal Auctions. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Andrew Gibiansky, Sercan Ömer Arik, Gregory Frederick Diamos, John Miller 0001, Kainan Peng, Wei Ping, Jonathan Raiman, Yanqi Zhou |
Deep Voice 2: Multi-Speaker Neural Text-to-Speech. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Dan Svenstrup, Jonas Meinertz Hansen, Ole Winther |
Hash Embeddings for Efficient Word Representations. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Ryuichi Kiryo, Gang Niu 0001, Marthinus Christoffel du Plessis, Masashi Sugiyama |
Positive-Unlabeled Learning with Non-Negative Risk Estimator. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Cyrus Rashtchian, Konstantin Makarychev, Miklós Z. Rácz, Siena Ang, Djordje Jevdjic, Sergey Yekhanin, Luis Ceze, Karin Strauss |
Clustering Billions of Reads for DNA Data Storage. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Robert Bamler, Cheng Zhang 0005, Manfred Opper, Stephan Mandt |
Perturbative Black Box Variational Inference. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Maksims Volkovs, Guang Wei Yu, Tomi Poutanen |
DropoutNet: Addressing Cold Start in Recommender Systems. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Guillaume Lample, Neil Zeghidour, Nicolas Usunier, Antoine Bordes, Ludovic Denoyer, Marc'Aurelio Ranzato |
Fader Networks: Manipulating Images by Sliding Attributes. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Anirudh Goyal, Nan Rosemary Ke, Surya Ganguli, Yoshua Bengio |
Variational Walkback: Learning a Transition Operator as a Stochastic Recurrent Net. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Ofer Dekel, Arthur Flajolet, Nika Haghtalab, Patrick Jaillet |
Online Learning with a Hint. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Andrei-Cristian Barbos, Francois Caron, Jean-François Giovannelli, Arnaud Doucet |
Clone MCMC: Parallel High-Dimensional Gaussian Gibbs Sampling. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Noam Brown, Tuomas Sandholm |
Safe and Nested Subgame Solving for Imperfect-Information Games. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Aolin Xu, Maxim Raginsky |
Information-theoretic analysis of generalization capability of learning algorithms. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Qizhe Xie, Zihang Dai, Yulun Du, Eduard H. Hovy, Graham Neubig |
Controllable Invariance through Adversarial Feature Learning. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Wei Wen, Cong Xu, Feng Yan 0001, Chunpeng Wu, Yandan Wang, Yiran Chen 0001, Hai Li 0001 |
TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Wojciech Kotlowski, Wouter M. Koolen, Alan Malek |
Random Permutation Online Isotonic Regression. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Siavash Arjomand Bigdeli, Matthias Zwicker, Paolo Favaro, Meiguang Jin |
Deep Mean-Shift Priors for Image Restoration. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Rowan McAllister, Carl Edward Rasmussen |
Data-Efficient Reinforcement Learning in Continuous State-Action Gaussian-POMDPs. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Hao He 0011, Bo Xin, Satoshi Ikehata, David P. Wipf |
From Bayesian Sparsity to Gated Recurrent Nets. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Anirudh Goyal, Alessandro Sordoni, Marc-Alexandre Côté, Nan Rosemary Ke, Yoshua Bengio |
Z-Forcing: Training Stochastic Recurrent Networks. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | David A. Klindt, Alexander S. Ecker, Thomas Euler, Matthias Bethge |
Neural system identification for large populations separating "what" and "where". |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Julien Audiffren, Liva Ralaivola |
Bandits Dueling on Partially Ordered Sets. |
NIPS |
2017 |
DBLP BibTeX RDF |
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| 1 | Marcel Nonnenmacher, Srinivas C. Turaga, Jakob H. Macke |
Extracting low-dimensional dynamics from multiple large-scale neural population recordings by learning to predict correlations. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Tomer Koren, Roi Livni, Yishay Mansour |
Multi-Armed Bandits with Metric Movement Costs. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath |
Estimating Mutual Information for Discrete-Continuous Mixtures. |
NIPS |
2017 |
DBLP BibTeX RDF |
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| 1 | Hyeonwoo Noh, Tackgeun You, Jonghwan Mun, Bohyung Han |
Regularizing Deep Neural Networks by Noise: Its Interpretation and Optimization. |
NIPS |
2017 |
DBLP BibTeX RDF |
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| 1 | Elias B. Khalil, Hanjun Dai, Yuyu Zhang, Bistra Dilkina, Le Song |
Learning Combinatorial Optimization Algorithms over Graphs. |
NIPS |
2017 |
DBLP BibTeX RDF |
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