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Publication search results
found 412 matches
- 2014
- Prateek Jain, Sewoong Oh:
Provable Tensor Factorization with Missing Data. NIPS 2014: 1431-1439 - Prateek Jain, Ambuj Tewari, Purushottam Kar:
On Iterative Hard Thresholding Methods for High-dimensional M-Estimation. NIPS 2014: 685-693 - Luigi Acerbi, Wei Ji Ma, Sethu Vijayakumar:
A Framework for Testing Identifiability of Bayesian Models of Perception. NIPS 2014: 1026-1034 - Margareta Ackerman, Sanjoy Dasgupta:
Incremental Clustering: The Case for Extra Clusters. NIPS 2014: 307-315 - David Adametz, Volker Roth:
Distance-Based Network Recovery under Feature Correlation. NIPS 2014: 775-783 - Alekh Agarwal, Alina Beygelzimer, Daniel J. Hsu, John Langford, Matus Telgarsky:
Scalable Non-linear Learning with Adaptive Polynomial Expansions. NIPS 2014: 2051-2059 - Sahar Akram, Jonathan Z. Simon, Shihab A. Shamma, Behtash Babadi:
A State-Space Model for Decoding Auditory Attentional Modulation from MEG in a Competing-Speaker Environment. NIPS 2014: 460-468 - Kareem Amin, Afshin Rostamizadeh, Umar Syed:
Repeated Contextual Auctions with Strategic Buyers. NIPS 2014: 622-630 - Waleed Ammar, Chris Dyer, Noah A. Smith:
Conditional Random Field Autoencoders for Unsupervised Structured Prediction. NIPS 2014: 3311-3319 - Michael Riis Andersen, Ole Winther, Lars Kai Hansen:
Bayesian Inference for Structured Spike and Slab Priors. NIPS 2014: 1745-1753 - Ferran Diego Andilla, Fred A. Hamprecht:
Sparse Space-Time Deconvolution for Calcium Image Analysis. NIPS 2014: 64-72 - Evan W. Archer, Urs Köster, Jonathan W. Pillow, Jakob H. Macke:
Low-dimensional models of neural population activity in sensory cortical circuits. NIPS 2014: 343-351 - Devansh Arpit, Ifeoma Nwogu, Venu Govindaraju:
Dimensionality Reduction with Subspace Structure Preservation. NIPS 2014: 712-720 - Özlem Aslan, Xinhua Zhang, Dale Schuurmans:
Convex Deep Learning via Normalized Kernels. NIPS 2014: 3275-3283 - Haim Avron, Huy L. Nguyen, David P. Woodruff:
Subspace Embeddings for the Polynomial Kernel. NIPS 2014: 2258-2266 - Pranjal Awasthi, Avrim Blum, Or Sheffet, Aravindan Vijayaraghavan:
Learning Mixtures of Ranking Models. NIPS 2014: 2609-2617 - Jimmy Ba, Rich Caruana:
Do Deep Nets Really Need to be Deep? NIPS 2014: 2654-2662 - Philip Bachman, Ouais Alsharif, Doina Precup:
Learning with Pseudo-Ensembles. NIPS 2014: 3365-3373 - Mohammad Taha Bahadori, Qi Rose Yu, Yan Liu:
Fast Multivariate Spatio-temporal Analysis via Low Rank Tensor Learning. NIPS 2014: 3491-3499 - Maria-Florina Balcan, Christopher Berlind, Avrim Blum, Emma Cohen, Kaushik Patnaik, Le Song:
Active Learning and Best-Response Dynamics. NIPS 2014: 2222-2230 - Arindam Banerjee, Sheng Chen, Farideh Fazayeli, Vidyashankar Sivakumar:
Estimation with Norm Regularization. NIPS 2014: 1556-1564 - Trapit Bansal, Chiranjib Bhattacharyya, Ravindran Kannan:
A provable SVD-based algorithm for learning topics in dominant admixture corpus. NIPS 2014: 1997-2005 - Elias Bareinboim, Judea Pearl:
Transportability from Multiple Environments with Limited Experiments: Completeness Results. NIPS 2014: 280-288 - Daniel Bartz, Klaus-Robert Müller:
Covariance shrinkage for autocorrelated data. NIPS 2014: 1592-1600 - MohammadHossein Bateni, Aditya Bhaskara, Silvio Lattanzi, Vahab S. Mirrokni:
Distributed Balanced Clustering via Mapping Coresets. NIPS 2014: 2591-2599 - Austin R. Benson, Jason D. Lee, Bartek Rajwa, David F. Gleich:
Scalable Methods for Nonnegative Matrix Factorizations of Near-separable Tall-and-skinny Matrices. NIPS 2014: 945-953 - Daniel Berend, Aryeh Kontorovich:
Consistency of weighted majority votes. NIPS 2014: 3446-3454 - Taylor Berg-Kirkpatrick, Jacob Andreas, Dan Klein:
Unsupervised Transcription of Piano Music. NIPS 2014: 1538-1546 - William E. Bishop, Byron M. Yu:
Deterministic Symmetric Positive Semidefinite Matrix Completion. NIPS 2014: 2762-2770 - Avrim Blum, Nika Haghtalab, Ariel D. Procaccia:
Learning Optimal Commitment to Overcome Insecurity. NIPS 2014: 1826-1834
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