| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Audrunas Gruslys, Rémi Munos, Ivo Danihelka, Marc Lanctot, Alex Graves |
Memory-Efficient Backpropagation Through Time.  |
NIPS  |
2016 |
DBLP BibTeX RDF |
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| 1 | Ben Poole, Subhaneil Lahiri, Maithra Raghu, Jascha Sohl-Dickstein, Surya Ganguli |
Exponential expressivity in deep neural networks through transient chaos. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Eli Gutin, Vivek F. Farias |
Optimistic Gittins Indices. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Hao Wang 0014, Xingjian Shi, Dit-Yan Yeung |
Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Boris Belousov, Gerhard Neumann, Constantin A. Rothkopf, Jan Peters 0001 |
Catching heuristics are optimal control policies. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Matthias W. Seeger, David Salinas, Valentin Flunkert |
Bayesian Intermittent Demand Forecasting for Large Inventories. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Eric Balkanski, Aviad Rubinstein, Yaron Singer |
The Power of Optimization from Samples. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Mingbo Cai, Nicolas W. Schuck, Jonathan W. Pillow, Yael Niv |
A Bayesian method for reducing bias in neural representational similarity analysis. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Andrej Risteski, Yuanzhi Li |
Algorithms and matching lower bounds for approximately-convex optimization. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Himabindu Lakkaraju, Jure Leskovec |
Confusions over Time: An Interpretable Bayesian Model to Characterize Trends in Decision Making. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Amit Daniely, Roy Frostig, Yoram Singer |
Toward Deeper Understanding of Neural Networks: The Power of Initialization and a Dual View on Expressivity. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Xiao-Tong Yuan, Ping Li 0001, Tong Zhang 0001, Qingshan Liu 0001, Guangcan Liu |
Learning Additive Exponential Family Graphical Models via \ell_{2, 1}-norm Regularized M-Estimation. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Bo Wang 0044, Junjie Zhu, Armin Pourshafeie, Oana Ursu, Serafim Batzoglou, Anshul Kundaje |
Unsupervised Learning from Noisy Networks with Applications to Hi-C Data. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Shantanu Jain, Martha White, Predrag Radivojac |
Estimating the class prior and posterior from noisy positives and unlabeled data. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Dmitry Krotov, John J. Hopfield |
Dense Associative Memory for Pattern Recognition. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Vignesh Ganapathiraman, Xinhua Zhang, Yaoliang Yu, Junfeng Wen |
Convex Two-Layer Modeling with Latent Structure. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Mark K. Ho, Michael L. Littman, James MacGlashan, Fiery Cushman, Joseph L. Austerweil |
Showing versus doing: Teaching by demonstration. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Rong Ge 0001, Jason D. Lee, Tengyu Ma 0001 |
Matrix Completion has No Spurious Local Minimum. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Shreyas Saxena, Jakob Verbeek |
Convolutional Neural Fabrics. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Felix X. Yu, Ananda Theertha Suresh, Krzysztof Marcin Choromanski, Daniel N. Holtmann-Rice, Sanjiv Kumar |
Orthogonal Random Features. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Laetitia Papaxanthos, Felipe Llinares-López, Dean A. Bodenham, Karsten M. Borgwardt |
Finding significant combinations of features in the presence of categorical covariates. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Richard Nock |
On Regularizing Rademacher Observation Losses. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Cristina Savin, Gasper Tkacik |
Estimating Nonlinear Neural Response Functions using GP Priors and Kronecker Methods. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Kentaro Minami, Hiromi Arai, Issei Sato, Hiroshi Nakagawa |
Differential Privacy without Sensitivity. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Sven Eberhardt, Jonah G. Cader, Thomas Serre |
How Deep is the Feature Analysis underlying Rapid Visual Categorization? |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Marco Fraccaro, Søren Kaae Sønderby, Ulrich Paquet, Ole Winther |
Sequential Neural Models with Stochastic Layers. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Vasilis Syrgkanis, Haipeng Luo, Akshay Krishnamurthy, Robert E. Schapire |
Improved Regret Bounds for Oracle-Based Adversarial Contextual Bandits. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Chien-Ju Ho, Rafael M. Frongillo, Yiling Chen 0001 |
Eliciting Categorical Data for Optimal Aggregation. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Jifeng Dai, Yi Li 0038, Kaiming He, Jian Sun 0001 |
R-FCN: Object Detection via Region-based Fully Convolutional Networks. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Mengdi Wang, Ji Liu, Ethan X. Fang |
Accelerating Stochastic Composition Optimization. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Mingsheng Long, Han Zhu, Jianmin Wang 0001, Michael I. Jordan |
Unsupervised Domain Adaptation with Residual Transfer Networks. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Kun He 0001, Yan Wang, John E. Hopcroft |
A Powerful Generative Model Using Random Weights for the Deep Image Representation. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Edouard Pauwels, Jean B. Lasserre |
Sorting out typicality with the inverse moment matrix SOS polynomial. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Se-Young Yun, Alexandre Proutière |
Optimal Cluster Recovery in the Labeled Stochastic Block Model. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Andreas Veit, Michael J. Wilber, Serge J. Belongie |
Residual Networks Behave Like Ensembles of Relatively Shallow Networks. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Steven Cheng-Xian Li, Benjamin M. Marlin |
A scalable end-to-end Gaussian process adapter for irregularly sampled time series classification. |
NIPS |
2016 |
DBLP BibTeX RDF |
|
| 1 | Philip Bachman |
An Architecture for Deep, Hierarchical Generative Models. |
NIPS |
2016 |
DBLP BibTeX RDF |
|
| 1 | Mathias Niepert |
Discriminative Gaifman Models. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Oren Anava, Kfir Y. Levy |
k*-Nearest Neighbors: From Global to Local. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Xiangru Lian, Huan Zhang 0001, Cho-Jui Hsieh, Yijun Huang, Ji Liu 0002 |
A Comprehensive Linear Speedup Analysis for Asynchronous Stochastic Parallel Optimization from Zeroth-Order to First-Order. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Ying Yang, Elissa Aminoff, Michael J. Tarr, Robert E. Kass |
A state-space model of cross-region dynamic connectivity in MEG/EEG. |
NIPS |
2016 |
DBLP BibTeX RDF |
|
| 1 | Matteo Turchetta, Felix Berkenkamp, Andreas Krause 0001 |
Safe Exploration in Finite Markov Decision Processes with Gaussian Processes. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Kohei Hayashi, Yuichi Yoshida |
Minimizing Quadratic Functions in Constant Time. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Jian Wu, Peter I. Frazier |
The Parallel Knowledge Gradient Method for Batch Bayesian Optimization. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Jonathan H. Huggins, Trevor Campbell, Tamara Broderick |
Coresets for Scalable Bayesian Logistic Regression. |
NIPS |
2016 |
DBLP BibTeX RDF |
|
| 1 | Scott Yang, Mehryar Mohri |
Optimistic Bandit Convex Optimization. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Michal Feldman, Tomer Koren, Roi Livni, Yishay Mansour, Aviv Zohar |
Online Pricing with Strategic and Patient Buyers. |
NIPS |
2016 |
DBLP BibTeX RDF |
|
| 1 | Dan Garber |
Faster Projection-free Convex Optimization over the Spectrahedron. |
NIPS |
2016 |
DBLP BibTeX RDF |
|
| 1 | Jean-Bastien Grill, Michal Valko, Rémi Munos |
Blazing the trails before beating the path: Sample-efficient Monte-Carlo planning. |
NIPS |
2016 |
DBLP BibTeX RDF |
|
| 1 | Feras Saad, Vikash K. Mansinghka |
A Probabilistic Programming Approach To Probabilistic Data Analysis. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Hao Wang 0014, Xingjian Shi, Dit-Yan Yeung |
Natural-Parameter Networks: A Class of Probabilistic Neural Networks. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Andrew Gordon Wilson, Zhiting Hu, Ruslan Salakhutdinov, Eric P. Xing |
Stochastic Variational Deep Kernel Learning. |
NIPS |
2016 |
DBLP BibTeX RDF |
|
| 1 | Ayan Chakrabarti |
Learning Sensor Multiplexing Design through Back-propagation. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Yining Wang, Anima Anandkumar |
Online and Differentially-Private Tensor Decomposition. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Matthew J. Johnson 0002, David Duvenaud, Alexander B. Wiltschko, Ryan P. Adams, Sandeep R. Datta |
Composing graphical models with neural networks for structured representations and fast inference. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Hado van Hasselt, Arthur Guez, Matteo Hessel, Volodymyr Mnih, David Silver |
Learning values across many orders of magnitude. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Seyed Mehran Kazemi, Angelika Kimmig, Guy Van den Broeck, David Poole 0001 |
New Liftable Classes for First-Order Probabilistic Inference. |
NIPS |
2016 |
DBLP BibTeX RDF |
|
| 1 | Yali Wan, Marina Meila |
Graph Clustering: Block-models and model free results. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Tim Salimans, Diederik P. Kingma |
Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Jinzhuo Wang, Wenmin Wang, Xiongtao Chen, Ronggang Wang, Wen Gao 0001 |
Deep Alternative Neural Network: Exploring Contexts as Early as Possible for Action Recognition. |
NIPS |
2016 |
DBLP BibTeX RDF |
|
| 1 | Jason Weston |
Dialog-based Language Learning. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Abir De, Isabel Valera, Niloy Ganguly, Sourangshu Bhattacharya, Manuel Gomez-Rodriguez |
Learning and Forecasting Opinion Dynamics in Social Networks. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Malik Magdon-Ismail, Christos Boutsidis |
Optimal Sparse Linear Encoders and Sparse PCA. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Tyler B. Johnson, Carlos Guestrin |
Unified Methods for Exploiting Piecewise Linear Structure in Convex Optimization. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Kirthevasan Kandasamy, Gautam Dasarathy, Junier B. Oliva, Jeff G. Schneider, Barnabás Póczos |
Gaussian Process Bandit Optimisation with Multi-fidelity Evaluations. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Murat A. Erdogdu, Lee H. Dicker, Mohsen Bayati |
Scaled Least Squares Estimator for GLMs in Large-Scale Problems. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Peter Schulam, Raman Arora |
Disease Trajectory Maps. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Xinan Wang, Sanjoy Dasgupta |
An algorithm for L1 nearest neighbor search via monotonic embedding. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Xiangyu Wang 0006, David B. Dunson, Chenlei Leng |
DECOrrelated feature space partitioning for distributed sparse regression. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Sheng Chen 0014, Arindam Banerjee 0001 |
Structured Matrix Recovery via the Generalized Dantzig Selector. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | José L. Torrecilla, Alberto Suárez 0001 |
Feature selection in functional data classification with recursive maxima hunting. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Brian W. Dolhansky, Jeff A. Bilmes |
Deep Submodular Functions: Definitions and Learning. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Tengyao Wang, Quentin Berthet, Yaniv Plan |
Average-case hardness of RIP certification. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Farzan Farnia, David Tse |
A Minimax Approach to Supervised Learning. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Itay Hubara, Matthieu Courbariaux, Daniel Soudry, Ran El-Yaniv, Yoshua Bengio |
Binarized Neural Networks. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Xi Chen 0022, Yan Duan, Rein Houthooft, John Schulman, Ilya Sutskever, Pieter Abbeel |
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Aryeh Kontorovich, Sivan Sabato, Ruth Urner |
Active Nearest-Neighbor Learning in Metric Spaces. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Scott W. Linderman, Ryan P. Adams, Jonathan W. Pillow |
Bayesian latent structure discovery from multi-neuron recordings. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Shanshan Wu, Srinadh Bhojanapalli, Sujay Sanghavi, Alexandros G. Dimakis |
Single Pass PCA of Matrix Products. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Ilya O. Tolstikhin, Bharath K. Sriperumbudur, Bernhard Schölkopf |
Minimax Estimation of Maximum Mean Discrepancy with Radial Kernels. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Pingfan Tang, Jeff M. Phillips |
The Robustness of Estimator Composition. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Renjie Liao, Alexander G. Schwing, Richard S. Zemel, Raquel Urtasun |
Learning Deep Parsimonious Representations. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Nagarajan Natarajan, Prateek Jain 0002 |
Regret Bounds for Non-decomposable Metrics with Missing Labels. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Shenlong Wang, Sanja Fidler, Raquel Urtasun |
Proximal Deep Structured Models. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Travis Monk, Cristina Savin, Jörg Lücke |
Neurons Equipped with Intrinsic Plasticity Learn Stimulus Intensity Statistics. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Tianfan Xue, Jiajun Wu 0001, Katherine L. Bouman, Bill Freeman |
Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Jost Tobias Springenberg, Aaron Klein, Stefan Falkner, Frank Hutter |
Bayesian Optimization with Robust Bayesian Neural Networks. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Conghui Tan, Shiqian Ma, Yu-Hong Dai, Yuqiu Qian |
Barzilai-Borwein Step Size for Stochastic Gradient Descent. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Aditya Grover, Stefano Ermon |
Variational Bayes on Monte Carlo Steroids. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Ruth Heller, Yair Heller |
Multivariate tests of association based on univariate tests. |
NIPS |
2016 |
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| 1 | |
Only H is left: Near-tight Episodic PAC RL. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Jason S. Hartford, James R. Wright, Kevin Leyton-Brown |
Deep Learning for Predicting Human Strategic Behavior. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Arulkumar Subramaniam, Moitreya Chatterjee, Anurag Mittal |
Deep Neural Networks with Inexact Matching for Person Re-Identification. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Trung Le, Tu Dinh Nguyen, Vu Nguyen 0001, Dinh Q. Phung |
Dual Space Gradient Descent for Online Learning. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Wei Chen 0013, Wei Hu, Fu Li, Jian Li 0015, Yu Liu, Pinyan Lu |
Combinatorial Multi-Armed Bandit with General Reward Functions. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Davood Hajinezhad, Mingyi Hong, Tuo Zhao, Zhaoran Wang 0001 |
NESTT: A Nonconvex Primal-Dual Splitting Method for Distributed and Stochastic Optimization. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Justin T. Khim, Varun S. Jog, Po-Ling Loh |
Computing and maximizing influence in linear threshold and triggering models. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Ashkan Norouzi-Fard, Abbas Bazzi, Ilija Bogunovic, Marwa El Halabi, Ya-Ping Hsieh, Volkan Cevher |
An Efficient Streaming Algorithm for the Submodular Cover Problem. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Hao Henry Zhou, Vamsi K. Ithapu, Sathya Narayanan Ravi, Vikas Singh, Grace Wahba, Sterling C. Johnson |
Hypothesis Testing in Unsupervised Domain Adaptation with Applications in Alzheimer's Disease. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Huasen Wu, Xin Liu 0002 |
Double Thompson Sampling for Dueling Bandits. |
NIPS |
2016 |
DBLP BibTeX RDF |
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