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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 | Junhyuk Oh, Satinder Singh 0001, Honglak Lee |
Value Prediction Network.  |
NIPS  |
2017 |
DBLP BibTeX RDF |
|
| 1 | Alessandro Rudi, Lorenzo Rosasco |
Generalization Properties of Learning with Random Features. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Robert S. Chen, Brendan Lucier, Yaron Singer, Vasilis Syrgkanis |
Robust Optimization for Non-Convex Objectives. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Novi Quadrianto, Viktoriia Sharmanska |
Recycling Privileged Learning and Distribution Matching for Fairness. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Qing Qu 0001, Yuqian Zhang, Yonina C. Eldar, John Wright 0001 |
Convolutional Phase Retrieval. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Haw-Shiuan Chang, Erik G. Learned-Miller, Andrew McCallum |
Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Matthieu Geist, Bilal Piot, Olivier Pietquin |
Is the Bellman residual a bad proxy? |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Aäron van den Oord, Oriol Vinyals, Koray Kavukcuoglu |
Neural Discrete Representation Learning. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Sven Peter, Elke Kirschbaum, Martin Both, Lee Campbell, Brandon Harvey, Conor Heins, Daniel Durstewitz, Ferran Diego, Fred A. Hamprecht |
Sparse convolutional coding for neuronal assembly detection. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, Sepp Hochreiter |
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Mark van der Wilk, Carl Edward Rasmussen, James Hensman |
Convolutional Gaussian Processes. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Feng Nan, Venkatesh Saligrama |
Adaptive Classification for Prediction Under a Budget. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Yunpeng Chen, Jianan Li, Huaxin Xiao, Xiaojie Jin, Shuicheng Yan, Jiashi Feng |
Dual Path Networks. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Zhen He, Shaobing Gao, Liang Xiao 0007, Daxue Liu, Hangen He, David Barber |
Wider and Deeper, Cheaper and Faster: Tensorized LSTMs for Sequence Learning. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Soumendu Sundar Mukherjee, Purnamrita Sarkar, Lizhen Lin |
On clustering network-valued data. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Jacob Steinhardt, Pang Wei Koh, Percy Liang |
Certified Defenses for Data Poisoning Attacks. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Danny Barash, Matan Gavish |
Optimal Shrinkage of Singular Values Under Random Data Contamination. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Christos Dimitrakakis, David C. Parkes, Goran Radanovic, Paul Tylkin |
Multi-View Decision Processes: The Helper-AI Problem. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Jan-Matthis Lueckmann, Pedro J. Gonçalves, Giacomo Bassetto, Kaan Öcal, Marcel Nonnenmacher, Jakob H. Macke |
Flexible statistical inference for mechanistic models of neural dynamics. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Guillaume Rabusseau, Borja Balle, Joelle Pineau |
Multitask Spectral Learning of Weighted Automata. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Ehsan Emamjomeh-Zadeh, David Kempe 0001 |
A General Framework for Robust Interactive Learning. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Julien Pérolat, Joel Z. Leibo, Vinícius Flores Zambaldi, Charles Beattie, Karl Tuyls, Thore Graepel |
A multi-agent reinforcement learning model of common-pool resource appropriation. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Jacob Devlin, Rudy Bunel, Rishabh Singh, Matthew J. Hausknecht, Pushmeet Kohli |
Neural Program Meta-Induction. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Zhongwen Xu, Joseph Modayil, Hado van Hasselt, André Barreto 0001, David Silver, Tom Schaul |
Natural Value Approximators: Learning when to Trust Past Estimates. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Yagmur Güçlütürk, Umut Güçlü, Katja Seeliger, Sander E. Bosch, Rob van Lier, Marcel A. J. van Gerven |
Reconstructing perceived faces from brain activations with deep adversarial neural decoding. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Jacob D. Abernethy, Jun-Kun Wang |
On Frank-Wolfe and Equilibrium Computation. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Rui Ponte Costa, Yannis M. Assael, Brendan Shillingford, Nando de Freitas, Tim P. Vogels |
Cortical microcircuits as gated-recurrent neural networks. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Hongteng Xu, Hongyuan Zha |
A Dirichlet Mixture Model of Hawkes Processes for Event Sequence Clustering. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Yonatan Belinkov, James R. Glass |
Analyzing Hidden Representations in End-to-End Automatic Speech Recognition Systems. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Arthur Choi, Yujia Shen, Adnan Darwiche |
Tractability in Structured Probability Spaces. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Shuai Xiao, Mehrdad Farajtabar, Xiaojing Ye, Junchi Yan, Xiaokang Yang, Le Song, Hongyuan Zha |
Wasserstein Learning of Deep Generative Point Process Models. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Jonathan H. Huggins, Ryan P. Adams, Tamara Broderick |
PASS-GLM: polynomial approximate sufficient statistics for scalable Bayesian GLM inference. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Maria-Florina Balcan, Hongyang Zhang 0001 |
Sample and Computationally Efficient Learning Algorithms under S-Concave Distributions. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Kristof Schütt, Pieter-Jan Kindermans, Huziel Enoc Sauceda Felix, Stefan Chmiela, Alexandre Tkatchenko, Klaus-Robert Müller |
SchNet: A continuous-filter convolutional neural network for modeling quantum interactions. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Kai Fan 0002, Qi Wei, Lawrence Carin, Katherine A. Heller |
An inner-loop free solution to inverse problems using deep neural networks. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Hong Chen, Xiaoqian Wang 0001, Cheng Deng, Heng Huang |
Group Sparse Additive Machine. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Carlo Ciliberto, Alessandro Rudi, Lorenzo Rosasco, Massimiliano Pontil |
Consistent Multitask Learning with Nonlinear Output Relations. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Bo-Jian Hou, Lijun Zhang 0005, Zhi-Hua Zhou |
Learning with Feature Evolvable Streams. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Alejandro Newell, Jia Deng 0001 |
Pixels to Graphs by Associative Embedding. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Matteo Papini, Matteo Pirotta, Marcello Restelli |
Adaptive Batch Size for Safe Policy Gradients. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Omar El Housni, Vineet Goyal |
Beyond Worst-case: A Probabilistic Analysis of Affine Policies in Dynamic Optimization. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Zihang Dai, Zhilin Yang, Fan Yang 0058, William W. Cohen, Ruslan Salakhutdinov |
Good Semi-supervised Learning That Requires a Bad GAN. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Yanbo Fan, Siwei Lyu, Yiming Ying, Bao-Gang Hu |
Learning with Average Top-k Loss. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Matthias Hein 0001, Maksym Andriushchenko |
Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Taylor W. Killian, Samuel Daulton, Finale Doshi-Velez, George Dimitri Konidaris |
Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Eran Malach, Shai Shalev-Shwartz |
Decoupling "when to update" from "how to update". |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Chun-Liang Li, Wei-Cheng Chang, Yu Cheng, Yiming Yang, Barnabás Póczos |
MMD GAN: Towards Deeper Understanding of Moment Matching Network. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Yingce Xia, Fei Tian, Lijun Wu, Jianxin Lin, Tao Qin 0001, Nenghai Yu, Tie-Yan Liu |
Deliberation Networks: Sequence Generation Beyond One-Pass Decoding. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Dipan K. Pal, Ashwin A. Kannan, Gautam Arakalgud, Marios Savvides |
Max-Margin Invariant Features from Transformed Unlabelled Data. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | James Thewlis, Hakan Bilen, Andrea Vedaldi |
Unsupervised learning of object frames by dense equivariant image labelling. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Weiyang Liu, Yan-Ming Zhang, Xingguo Li, Zhen Liu 0019, Bo Dai 0001, Tuo Zhao, Le Song |
Deep Hyperspherical Learning. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Linxi Liu, Dangna Li, Wing Hung Wong |
Convergence rates of a partition based Bayesian multivariate density estimation method. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Kartik Ahuja, William R. Zame, Mihaela van der Schaar |
DPSCREEN: Dynamic Personalized Screening. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Ritambhara Singh, Jack Lanchantin, Arshdeep Sekhon, Yanjun Qi |
Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Jianshu Chen, Chong Wang, Lin Xiao, Ji He, Lihong Li 0001, Li Deng 0001 |
Q-LDA: Uncovering Latent Patterns in Text-based Sequential Decision Processes. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Takashi Ishida 0001, Gang Niu 0001, Weihua Hu, Masashi Sugiyama |
Learning from Complementary Labels. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Zhe Gan, Liqun Chen 0001, Weiyao Wang 0002, Yunchen Pu, Yizhe Zhang 0002, Hao Liu 0015, Chunyuan Li, Lawrence Carin |
Triangle Generative Adversarial Networks. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Yi Ding 0006, Risi Kondor, Jonathan Eskreis-Winkler |
Multiresolution Kernel Approximation for Gaussian Process Regression. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Greg Yang, Samuel S. Schoenholz |
Mean Field Residual Networks: On the Edge of Chaos. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Alessandro Rudi, Luigi Carratino, Lorenzo Rosasco |
FALKON: An Optimal Large Scale Kernel Method. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Ben London 0001 |
A PAC-Bayesian Analysis of Randomized Learning with Application to Stochastic Gradient Descent. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Chongxuan Li, Taufik Xu, Jun Zhu 0001, Bo Zhang 0010 |
Triple Generative Adversarial Nets. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Mikhail Yurochkin, XuanLong Nguyen, Nikolaos Vasiloglou |
Multi-way Interacting Regression via Factorization Machines. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Kush Bhatia, Prateek Jain 0002, Parameswaran Kamalaruban, Purushottam Kar |
Consistent Robust Regression. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Wei-Ning Hsu, Yu Zhang 0033, James R. Glass |
Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Sifei Liu, Shalini De Mello, Jinwei Gu, Guangyu Zhong, Ming-Hsuan Yang 0001, Jan Kautz |
Learning Affinity via Spatial Propagation Networks. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Ahmad Beirami, Meisam Razaviyayn, Shahin Shahrampour, Vahid Tarokh |
On Optimal Generalizability in Parametric Learning. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Bikash Joshi, Massih-Reza Amini, Ioannis Partalas, Franck Iutzeler, Yury Maximov |
Aggressive Sampling for Multi-class to Binary Reduction with Applications to Text Classification. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Xiuyuan Lu, Benjamin Van Roy |
Ensemble Sampling. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Yichen Wang 0001, Xiaojing Ye, Hongyuan Zha, Le Song |
Predicting User Activity Level In Point Processes With Mass Transport Equation. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Virginia Smith, Chao-Kai Chiang, Maziar Sanjabi, Ameet Talwalkar |
Federated Multi-Task Learning. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Stefan Bauer, Nico S. Gorbach, Ðorðe Miladinovic, Joachim M. Buhmann |
Efficient and Flexible Inference for Stochastic Systems. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Nicolò Cesa-Bianchi, Claudio Gentile, Gergely Neu, Gábor Lugosi |
Boltzmann Exploration Done Right. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Celestine Dünner, Thomas P. Parnell, Martin Jaggi |
Efficient Use of Limited-Memory Accelerators for Linear Learning on Heterogeneous Systems. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Vlad Niculae, Mathieu Blondel |
A Regularized Framework for Sparse and Structured Neural Attention. |
NIPS |
2017 |
DBLP BibTeX RDF |
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| 1 | S. Jalil Kazemitabar, Arash A. Amini, Adam Bloniarz, Ameet Talwalkar |
Variable Importance Using Decision Trees. |
NIPS |
2017 |
DBLP BibTeX RDF |
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| 1 | Hsiang-Fu Yu, Cho-Jui Hsieh, Qi Lei, Inderjit S. Dhillon |
A Greedy Approach for Budgeted Maximum Inner Product Search. |
NIPS |
2017 |
DBLP BibTeX RDF |
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| 1 | Aniket Anand Deshmukh, Ürün Dogan, Clayton Scott |
Multi-Task Learning for Contextual Bandits. |
NIPS |
2017 |
DBLP BibTeX RDF |
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| 1 | Mali Sundaresan, Arshed Nabeel, Devarajan Sridharan |
Mapping distinct timescales of functional interactions among brain networks. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Ziming Zhang, Matthew Brand |
Convergent Block Coordinate Descent for Training Tikhonov Regularized Deep Neural Networks. |
NIPS |
2017 |
DBLP BibTeX RDF |
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| 1 | Ehsan Elhamifar, M. Clara De Paolis Kaluza |
Subset Selection and Summarization in Sequential Data. |
NIPS |
2017 |
DBLP BibTeX RDF |
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| 1 | Yasin Abbasi-Yadkori, Peter L. Bartlett, Victor Gabillon |
Near Minimax Optimal Players for the Finite-Time 3-Expert Prediction Problem. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Fabio Cecchi, Nidhi Hegde 0001 |
Adaptive Active Hypothesis Testing under Limited Information. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Sylvestre-Alvise Rebuffi, Hakan Bilen, Andrea Vedaldi |
Learning multiple visual domains with residual adapters. |
NIPS |
2017 |
DBLP BibTeX RDF |
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| 1 | Akash Srivastava, Lazar Valkov, Chris Russell 0001, Michael U. Gutmann, Charles Sutton |
VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Piotr Dabkowski, Yarin Gal |
Real Time Image Saliency for Black Box Classifiers. |
NIPS |
2017 |
DBLP BibTeX RDF |
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| 1 | Xiangru Lian, Ce Zhang 0001, Huan Zhang 0001, Cho-Jui Hsieh, Wei Zhang 0022, Ji Liu 0002 |
Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Carlton Downey, Ahmed Hefny, Byron Boots, Geoffrey J. Gordon, Boyue Li |
Predictive State Recurrent Neural Networks. |
NIPS |
2017 |
DBLP BibTeX RDF |
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| 1 | Alex Lamb, R. Devon Hjelm, Yaroslav Ganin, Joseph Paul Cohen, Aaron C. Courville, Yoshua Bengio |
GibbsNet: Iterative Adversarial Inference for Deep Graphical Models. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Xiaofan Lin, Cong Zhao, Wei Pan |
Towards Accurate Binary Convolutional Neural Network. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Tim Roughgarden, Okke Schrijvers |
Online Prediction with Selfish Experts. |
NIPS |
2017 |
DBLP BibTeX RDF |
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| 1 | Kyuhong Shim, Minjae Lee, Iksoo Choi, Yoonho Boo, Wonyong Sung |
SVD-Softmax: Fast Softmax Approximation on Large Vocabulary Neural Networks. |
NIPS |
2017 |
DBLP BibTeX RDF |
|
| 1 | Marco Fraccaro, Simon Kamronn, Ulrich Paquet, Ole Winther |
A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning. |
NIPS |
2017 |
DBLP BibTeX RDF |
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| 1 | Arun Venkatraman, Nicholas Rhinehart, Wen Sun 0002, Lerrel Pinto, Martial Hebert, Byron Boots, Kris M. Kitani, James Andrew Bagnell |
Predictive-State Decoders: Encoding the Future into Recurrent Networks. |
NIPS |
2017 |
DBLP BibTeX RDF |
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| 1 | Seungil You, David Ding, Kevin Robert Canini, Jan Pfeifer, Maya R. Gupta |
Deep Lattice Networks and Partial Monotonic Functions. |
NIPS |
2017 |
DBLP BibTeX RDF |
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| 1 | Richard Nock, Zac Cranko, Aditya Krishna Menon, Lizhen Qu, Robert C. Williamson |
f-GANs in an Information Geometric Nutshell. |
NIPS |
2017 |
DBLP BibTeX RDF |
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| 1 | Murat Kocaoglu, Karthikeyan Shanmugam, Elias Bareinboim |
Experimental Design for Learning Causal Graphs with Latent Variables. |
NIPS |
2017 |
DBLP BibTeX RDF |
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| 1 | Aravindan Vijayaraghavan, Abhratanu Dutta, Alex Wang |
Clustering Stable Instances of Euclidean k-means. |
NIPS |
2017 |
DBLP BibTeX RDF |
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| 1 | Priya L. Donti, J. Zico Kolter, Brandon Amos |
Task-based End-to-end Model Learning in Stochastic Optimization. |
NIPS |
2017 |
DBLP BibTeX RDF |
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| 1 | Sanjiban Choudhury, Shervin Javdani, Siddhartha S. Srinivasa, Sebastian A. Scherer |
Near-Optimal Edge Evaluation in Explicit Generalized Binomial Graphs. |
NIPS |
2017 |
DBLP BibTeX RDF |
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