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Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Panagiotis Toulis, David C. Parkes |
Long-term Causal Effects via Behavioral Game Theory.  |
NIPS  |
2016 |
DBLP BibTeX RDF |
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| 1 | Xinyang Yi, Dohyung Park, Yudong Chen 0001, Constantine Caramanis |
Fast Algorithms for Robust PCA via Gradient Descent. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Grégoire Montavon, Klaus-Robert Müller, Marco Cuturi |
Wasserstein Training of Restricted Boltzmann Machines. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Shinji Ito, Ryohei Fujimaki |
Large-Scale Price Optimization via Network Flow. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Dangna Li, Kun Yang, Wing Hung Wong |
Density Estimation via Discrepancy Based Adaptive Sequential Partition. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Mikhail Yurochkin, XuanLong Nguyen |
Geometric Dirichlet Means Algorithm for topic inference. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Hassan A. Kingravi, Harshal R. Maske, Girish Chowdhary 0001 |
Kernel Observers: Systems-Theoretic Modeling and Inference of Spatiotemporally Evolving Processes. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Yuan Zhao 0004, Il Memming Park |
Interpretable Nonlinear Dynamic Modeling of Neural Trajectories. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Akshay Krishnamurthy, Alekh Agarwal, Miroslav Dudík |
Contextual semibandits via supervised learning oracles. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Elad Hazan, Tengyu Ma 0001 |
A Non-generative Framework and Convex Relaxations for Unsupervised Learning. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Shengjia Zhao, Enze Zhou, Ashish Sabharwal, Stefano Ermon |
Adaptive Concentration Inequalities for Sequential Decision Problems. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Mohammad Ghavamzadeh, Marek Petrik, Yinlam Chow |
Safe Policy Improvement by Minimizing Robust Baseline Regret. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Grégory Rogez, Cordelia Schmid |
MoCap-guided Data Augmentation for 3D Pose Estimation in the Wild. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Farshad Lahouti, Babak Hassibi |
Fundamental Limits of Budget-Fidelity Trade-off in Label Crowdsourcing. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Ozan Sener, Hyun Oh Song, Ashutosh Saxena, Silvio Savarese |
Learning Transferrable Representations for Unsupervised Domain Adaptation. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Fan Yang, Rina Foygel Barber, Prateek Jain 0002, John D. Lafferty |
Selective inference for group-sparse linear models. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Nir Rosenfeld, Amir Globerson |
Optimal Tagging with Markov Chain Optimization. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Aurko Roy, Sebastian Pokutta |
Hierarchical Clustering via Spreading Metrics. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Aude Genevay, Marco Cuturi, Gabriel Peyré, Francis R. Bach |
Stochastic Optimization for Large-scale Optimal Transport. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Yong Ren, Jun Zhu 0001, Jialian Li, Yucen Luo |
Conditional Generative Moment-Matching Networks. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Hao Wu 0035, Frank Noé |
Spectral Learning of Dynamic Systems from Nonequilibrium Data. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Daniel J. Mankowitz, Timothy A. Mann, Shie Mannor |
Adaptive Skills Adaptive Partitions (ASAP). |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Walid Krichene, Alexandre M. Bayen, Peter L. Bartlett |
Adaptive Averaging in Accelerated Descent Dynamics. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Saizheng Zhang, Yuhuai Wu, Tong Che, Zhouhan Lin, Roland Memisevic, Ruslan Salakhutdinov, Yoshua Bengio |
Architectural Complexity Measures of Recurrent Neural Networks. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Dan Garber, Ofer Meshi |
Linear-Memory and Decomposition-Invariant Linearly Convergent Conditional Gradient Algorithm for Structured Polytopes. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | David F. Harwath, Antonio Torralba 0001, James R. Glass |
Unsupervised Learning of Spoken Language with Visual Context. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Ofir David, Shay Moran, Amir Yehudayoff |
Supervised learning through the lens of compression. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Diane Bouchacourt, Pawan Kumar Mudigonda, Sebastian Nowozin |
DISCO Nets : DISsimilarity COefficients Networks. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Aditya Bhaskara, Mehrdad Ghadiri, Vahab S. Mirrokni, Ola Svensson |
Linear Relaxations for Finding Diverse Elements in Metric Spaces. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Zijun Wei, Hossein Adeli, Minh Hoai, Gregory J. Zelinsky, Dimitris Samaras |
Learned Region Sparsity and Diversity Also Predicts Visual Attention. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Mathieu Blondel, Akinori Fujino, Naonori Ueda, Masakazu Ishihata |
Higher-Order Factorization Machines. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Mahdi Milani Fard, Quentin Cormier, Kevin Robert Canini, Maya R. Gupta |
Launch and Iterate: Reducing Prediction Churn. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Jiyan Yang, Michael W. Mahoney, Michael A. Saunders, Yuekai Sun |
Feature-distributed sparse regression: a screen-and-clean approach. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Jacob Steinhardt, Gregory Valiant, Moses Charikar |
Avoiding Imposters and Delinquents: Adversarial Crowdsourcing and Peer Prediction. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Dennis Wei |
A Constant-Factor Bi-Criteria Approximation Guarantee for k-means++. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Gabriel Krummenacher, Brian McWilliams, Yannic Kilcher, Joachim M. Buhmann, Nicolai Meinshausen |
Scalable Adaptive Stochastic Optimization Using Random Projections. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Alexey Dosovitskiy, Thomas Brox |
Generating Images with Perceptual Similarity Metrics based on Deep Networks. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Alexander Kirillov, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy |
Joint M-Best-Diverse Labelings as a Parametric Submodular Minimization. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Sungsoo Ahn, Michael Chertkov, Jinwoo Shin |
Synthesis of MCMC and Belief Propagation. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Kaito Fujii, Hisashi Kashima |
Budgeted stream-based active learning via adaptive submodular maximization. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Antoine Gautier 0001, Quynh Nguyen 0001, Matthias Hein 0001 |
Globally Optimal Training of Generalized Polynomial Neural Networks with Nonlinear Spectral Methods. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Yunchen Pu, Zhe Gan, Ricardo Henao, Xin Yuan 0002, Chunyuan Li, Andrew Stevens 0005, Lawrence Carin |
Variational Autoencoder for Deep Learning of Images, Labels and Captions. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Francisco J. R. Ruiz, Michalis K. Titsias, David M. Blei |
The Generalized Reparameterization Gradient. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Maria-Florina Balcan, Tuomas Sandholm, Ellen Vitercik |
Sample Complexity of Automated Mechanism Design. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Samir Chowdhury 0001, Facundo Mémoli, Zane T. Smith |
Improved Error Bounds for Tree Representations of Metric Spaces. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Anshumali Shrivastava |
Simple and Efficient Weighted Minwise Hashing. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Yarin Gal, Zoubin Ghahramani |
A Theoretically Grounded Application of Dropout in Recurrent Neural Networks. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Brian Bullins, Elad Hazan, Tomer Koren |
The Limits of Learning with Missing Data. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Wei Ping, Qiang Liu 0001, Alexander Ihler |
Learning Infinite RBMs with Frank-Wolfe. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Miguel Ángel Bautista 0001, Artsiom Sanakoyeu, Ekaterina Tikhoncheva, Björn Ommer |
CliqueCNN: Deep Unsupervised Exemplar Learning. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Taesup Moon, Seonwoo Min, Byunghan Lee, Sungroh Yoon |
Neural Universal Discrete Denoiser. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Han Zhao 0002, Pascal Poupart, Geoffrey J. Gordon |
A Unified Approach for Learning the Parameters of Sum-Product Networks. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Wittawat Jitkrittum, Zoltán Szabó 0001, Kacper P. Chwialkowski, Arthur Gretton |
Interpretable Distribution Features with Maximum Testing Power. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Carl-Johann Simon-Gabriel, Adam Scibior, Ilya O. Tolstikhin, Bernhard Schölkopf |
Consistent Kernel Mean Estimation for Functions of Random Variables. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Liangbei Xu, Mark A. Davenport |
Dynamic matrix recovery from incomplete observations under an exact low-rank constraint. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Maria-Florina Balcan, Hongyang Zhang 0001 |
Noise-Tolerant Life-Long Matrix Completion via Adaptive Sampling. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Koosha Khalvati, Seongmin A. Park, Jean-Claude Dreher, Rajesh P. Rao |
A Probabilistic Model of Social Decision Making based on Reward Maximization. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Jin-Hwa Kim, Sang-Woo Lee 0001, Dong-Hyun Kwak, Min-Oh Heo, Jeonghee Kim, JungWoo Ha 0001, Byoung-Tak Zhang |
Multimodal Residual Learning for Visual QA. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Ilija Bogunovic, Jonathan Scarlett, Andreas Krause 0001, Volkan Cevher |
Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Kirthevasan Kandasamy, Gautam Dasarathy, Barnabás Póczos, Jeff G. Schneider |
The Multi-fidelity Multi-armed Bandit. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Amin Jalali 0002, Qiyang Han, Ioana Dumitriu, Maryam Fazel |
Exploiting Tradeoffs for Exact Recovery in Heterogeneous Stochastic Block Models. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Mehdi Sajjadi, Mehran Javanmardi, Tolga Tasdizen |
Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Théodore Bluche |
Joint Line Segmentation and Transcription for End-to-End Handwritten Paragraph Recognition. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Yizhe Zhang 0002, Xiangyu Wang 0006, Changyou Chen, Ricardo Henao, Kai Fan 0002, Lawrence Carin |
Towards Unifying Hamiltonian Monte Carlo and Slice Sampling. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Jin Lu 0001, Guannan Liang, Jiangwen Sun, Jinbo Bi |
A Sparse Interactive Model for Matrix Completion with Side Information. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Pascal Germain, Francis R. Bach, Alexandre Lacoste, Simon Lacoste-Julien |
PAC-Bayesian Theory Meets Bayesian Inference. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Lin Chen 0003, Amin Karbasi, Forrest W. Crawford |
Estimating the Size of a Large Network and its Communities from a Random Sample. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Vladimir Golkov, Marcin J. Skwark, Antonij Golkov, Alexey Dosovitskiy, Thomas Brox, Jens Meiler, Daniel Cremers |
Protein contact prediction from amino acid co-evolution using convolutional networks for graph-valued images. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Kevin Ellis, Armando Solar-Lezama, Josh Tenenbaum 0001 |
Sampling for Bayesian Program Learning. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Danilo Jimenez Rezende, S. M. Ali Eslami, Shakir Mohamed, Peter W. Battaglia, Max Jaderberg, Nicolas Heess |
Unsupervised Learning of 3D Structure from Images. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Antoine Désir, Vineet Goyal, Srikanth Jagabathula, Danny Segev |
Assortment Optimization Under the Mallows model. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Pedro Mercado 0001, Francesco Tudisco, Matthias Hein 0001 |
Clustering Signed Networks with the Geometric Mean of Laplacians. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Veeranjaneyulu Sadhanala, Yu-Xiang Wang 0003, Ryan J. Tibshirani |
Total Variation Classes Beyond 1d: Minimax Rates, and the Limitations of Linear Smoothers. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Josip Djolonga, Stefanie Jegelka, Sebastian Tschiatschek, Andreas Krause 0001 |
Cooperative Graphical Models. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Timothy N. Rubin, Oluwasanmi Koyejo, Michael N. Jones, Tal Yarkoni |
Generalized Correspondence-LDA Models (GC-LDA) for Identifying Functional Regions in the Brain. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Jianxu Chen 0001, Lin Yang 0003, Yizhe Zhang 0001, Mark S. Alber, Danny Ziyi Chen |
Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Daniel C. McNamee, Daniel M. Wolpert, Máté Lengyel |
Efficient state-space modularization for planning: theory, behavioral and neural signatures. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Sara Magliacane, Tom Claassen, Joris M. Mooij |
Ancestral Causal Inference. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Yang Liu 0018, Yiling Chen 0001 |
A Bandit Framework for Strategic Regression. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Yexiang Xue, Zhiyuan Li 0005, Stefano Ermon, Carla P. Gomes, Bart Selman |
Solving Marginal MAP Problems with NP Oracles and Parity Constraints. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Noah J. Apthorpe, Alexander J. Riordan, Rob E. Aguilar, Jan Homann, Yi Gu, David W. Tank, H. Sebastian Seung |
Automatic Neuron Detection in Calcium Imaging Data Using Convolutional Networks. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Sainbayar Sukhbaatar, Arthur Szlam, Rob Fergus |
Learning Multiagent Communication with Backpropagation. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Jose M. Alvarez, Mathieu Salzmann |
Learning the Number of Neurons in Deep Networks. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Chuan-Yung Tsai, Andrew M. Saxe, David D. Cox |
Tensor Switching Networks. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Ankit B. Patel, Minh Tan Nguyen, Richard G. Baraniuk |
A Probabilistic Framework for Deep Learning. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Shizhong Han, Zibo Meng, Ahmed-Shehab Khan, Yan Tong |
Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Motonobu Kanagawa, Bharath K. Sriperumbudur, Kenji Fukumizu |
Convergence guarantees for kernel-based quadrature rules in misspecified settings. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Tomoharu Iwata, Makoto Yamada |
Multi-view Anomaly Detection via Robust Probabilistic Latent Variable Models. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Wei-Shou Hsu, Pascal Poupart |
Online Bayesian Moment Matching for Topic Modeling with Unknown Number of Topics. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Tzu-Kuo Huang, Lihong Li 0001, Ara Vartanian, Saleema Amershi, Xiaojin Zhu 0001 |
Active Learning with Oracle Epiphany. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Zhen Xu, Wen Dong 0001, Sargur N. Srihari |
Using Social Dynamics to Make Individual Predictions: Variational Inference with a Stochastic Kinetic Model. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Alexandros Georgogiannis |
Robust k-means: a Theoretical Revisit. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Jakob N. Foerster, Yannis M. Assael, Nando de Freitas, Shimon Whiteson |
Learning to Communicate with Deep Multi-Agent Reinforcement Learning. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Dehua Cheng, Richard Peng, Yan Liu 0002, Ioakeim Perros |
SPALS: Fast Alternating Least Squares via Implicit Leverage Scores Sampling. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Rémi Lam, Karen Willcox, David H. Wolpert |
Bayesian Optimization with a Finite Budget: An Approximate Dynamic Programming Approach. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Xinyang Yi, Zhaoran Wang 0001, Zhuoran Yang, Constantine Caramanis, Han Liu 0001 |
More Supervision, Less Computation: Statistical-Computational Tradeoffs in Weakly Supervised Learning. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Elad Richardson, Rom Herskovitz, Boris Ginsburg, Michael Zibulevsky |
SEBOOST - Boosting Stochastic Learning Using Subspace Optimization Techniques. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Casper Kaae Sønderby, Tapani Raiko, Lars Maaløe, Søren Kaae Sønderby, Ole Winther |
Ladder Variational Autoencoders. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Aviv Tamar, Sergey Levine, Pieter Abbeel, Yi Wu 0013, Garrett Thomas |
Value Iteration Networks. |
NIPS |
2016 |
DBLP BibTeX RDF |
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| 1 | Nicolò Colombo, Nikos Vlassis |
A posteriori error bounds for joint matrix decomposition problems. |
NIPS |
2016 |
DBLP BibTeX RDF |
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