---
title: "NeurIPS 2016 — all accepted papers — the most cited first"
description: "All 177 papers of NeurIPS 2016 · page 1 of 2, the most cited first; those with our summary link to it."
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---
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# NeurIPS 2016: all accepted papers

177 papers · page 1 of 2 · the most cited first · [← NeurIPS 2016](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2016/)

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1. **[Improved deep metric learning with multi-class N-pair loss objective ↗](https://papers.nips.cc/paper/2016/file/6b180037abbebea991d8b1232f8a8ca9-Paper.pdf)**Kihyuk Sohn*1,240 citations*
2. **[Deep ADMM-Net for compressive sensing MRI ↗](https://papers.nips.cc/paper/6406-deep-admm-net-for-compressive-sensing-mri.pdf)**Yan Yang, Jian Zhong Sun, Huibin Li et al.*871 citations*
3. **[Improved Variational Inference with Inverse Autoregressive Flow ↗](https://papers.nips.cc/paper/2016/file/ddeebdeefdb7e7e7a697e1c3e3d8ef54-Paper.pdf)**Durk Kingma, Tim Salimans, Rafał Józefowicz et al.*724 citations*
4. **[Weight normalization: a simple reparameterization to accelerate training of deep neural networks ↗](https://papers.nips.cc/paper/6114-weight-normalization-a-simple-reparameterization-to-accelerate-training-of-deep-neural-networks.pdf)**Tim Salimans, Diederik P. Kingma*617 citations*
5. **[Unifying count-based exploration and intrinsic motivation ↗](https://proceedings.neurips.cc/paper/2016/file/afda332245e2af431fb7b672a68b659d-Paper.pdf)**Marc G. Bellemare, Sriram Srinivasan, Georg Ostrovski et al.*612 citations*
6. **[Diffusion-Convolutional Neural Networks ↗](https://papers.nips.cc/paper/2016/file/390e982518a50e280d8e2b535462ec1f-Paper.pdf)**James R. Atwood, Don Towsley*517 citations*
7. **[Examples are not enough, learn to criticize! Criticism for Interpretability ↗](https://papers.nips.cc/paper/6300-examples-are-not-enough-learn-to-criticize-criticism-for-interpretability.pdf)**Been Kim, Rajiv Khanna, Sanmi Koyejo*499 citations*
8. **[MS MARCO: A Human Generated MAchine Reading COmprehension Dataset. ↗](http://ceur-ws.org/Vol-1773/CoCoNIPS_2016_paper9.pdf)**Tri Gia Nguyen, Mir Rosenberg, Song Xia et al.*419 citations*
9. **[Dynamic Filter Networks ↗](https://papers.nips.cc/paper/6578-dynamic-filter-networks.pdf)**Xu Jia, Bert De Brabandere, Tinne Tuytelaars et al.*315 citations*
10. **[Temporal regularized matrix factorization for high-dimensional time series prediction ↗](https://papers.nips.cc/paper/6160-temporal-regularized-matrix-factorization-for-high-dimensional-time-series-prediction.pdf)**Hsiang‐Fu Yu, Nikhil Rao, Inderjit S. Dhillon*306 citations*
11. **[Residual networks behave like ensembles of relatively shallow networks ↗](https://papers.nips.cc/paper/6556-residual-networks-behave-like-ensembles-of-relatively-shallow-networks.pdf)**Andreas Veit, Michael J. Wilber, Serge Belongie*300 citations*
12. **[Regularization with stochastic transformations and perturbations for deep semi-supervised learning ↗](https://papers.nips.cc/paper/2016/file/30ef30b64204a3088a26bc2e6ecf7602-Paper.pdf)**Mehdi S. M. Sajjadi, Mehran Javanmardi, Tolga Taşdizen*262 citations*
13. **[Learning to poke by poking: experiential learning of intuitive physics ↗](https://proceedings.neurips.cc/paper/2016/file/c203d8a151612acf12457e4d67635a95-Paper.pdf)**Pulkit Agrawal, Ashvin Nair, Pieter Abbeel et al.*254 citations*
14. **[Bayesian optimization with robust Bayesian neural networks ↗](https://papers.nips.cc/paper/2016/file/a96d3afec184766bfeca7a9f989fc7e7-Paper.pdf)**Jost Tobias Springenberg, Aaron Klein, Stefan Falkner et al.*252 citations*
15. **[Learning Transferrable Representations for Unsupervised Domain Adaptation ↗](https://papers.nips.cc/paper/6360-learning-transferrable-representations-for-unsupervised-domain-adaptation.pdf)**Ozan Şener, Hyun Oh Song, Ashutosh Saxena et al.*226 citations*
16. **[Supervised Learning with Tensor Networks ↗](https://papers.nips.cc/paper/6211-supervised-learning-with-tensor-networks.pdf)**Edwin Miles Stoudenmire, David J. Schwab*188 citations*
17. **[Composing graphical models with neural networks for structured representations and fast inference ↗](https://papers.nips.cc/paper/2016/file/7d6044e95a16761171b130dcb476a43e-Paper.pdf)**Matthew Johnson, David Duvenaud, Alexander B. Wiltschko et al.*165 citations*
18. **[30th Conference on Neural Information Processing Systems (NIPS 2016) ↗](https://www.research.ed.ac.uk/portal/files/28416442/nips2016_combined_2.pdf)**George Papamakarios, Iain Murray*164 citations*
19. **[Learning feed-forward one-shot learners ↗](https://papers.nips.cc/paper/2016/file/839ab46820b524afda05122893c2fe8e-Paper.pdf)**Luca Bertinetto, João F. Henriques, Jack Valmadre et al.*163 citations*
20. **[CNNpack: packing convolutional neural networks in the frequency domain ↗](https://papers.nips.cc/paper/6390-cnnpack-packing-convolutional-neural-networks-in-the-frequency-domain.pdf)**Yunhe Wang, Chang Xu, Shan You et al.*144 citations*
21. **[Stochastic Gradient Methods for Distributionally Robust Optimization with f-divergences ↗](https://papers.nips.cc/paper/6040-stochastic-gradient-methods-for-distributionally-robust-optimization-with-f-divergences.pdf)**Hongseok Namkoong, John C. Duchi*131 citations*
22. **[Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation ↗](https://papers.nips.cc/paper/2016/file/4dcf435435894a4d0972046fc566af76-Paper.pdf)**Jianxu Chen, Lin Yang, Yizhe Zhang et al.*113 citations*
23. **[Fairness in learning: classic and contextual bandits ↗](https://papers.nips.cc/paper/6355-fairness-in-learning-classic-and-contextual-bandits.pdf)**Matthew Joseph, Michael J. Kearns, Jamie Morgenstern et al.*95 citations*
24. **[Proximal stochastic methods for nonsmooth nonconvex finite-sum optimization ↗](https://papers.nips.cc/paper/6116-proximal-stochastic-methods-for-nonsmooth-nonconvex-finite-sum-optimization.pdf)**Sashank Jakkam Reddi, Suvrit Sra, Barnabás Póczos et al.*95 citations*
25. **[Towards Conceptual Compression ↗](https://papers.nips.cc/paper/6542-towards-conceptual-compression.pdf)**Karol Gregor, Frederic Besse, Danilo Jimenez Rezende et al.*95 citations*
26. **[Stochastic online AUC maximization ↗](https://papers.nips.cc/paper/6065-stochastic-online-auc-maximization.pdf)**Yiming Ying, Longyin Wen, Siwei Lyu*94 citations*
27. **[Deep Neural Networks with Inexact Matching for Person Re-Identification ↗](https://papers.nips.cc/paper/6367-deep-neural-networks-with-inexact-matching-for-person-re-identification.pdf)**Arulkumar Subramaniam, Moitreya Chatterjee, Anurag Mittal*92 citations*
28. **[Fast Algorithms for Robust PCA via Gradient Descent ↗](https://papers.nips.cc/paper/6445-fast-algorithms-for-robust-pca-via-gradient-descent.pdf)**Xinyang Yi, Dohyung Park, Yudong Chen et al.*89 citations*
29. **[Fast and Provably Good Seedings for k-Means ↗](https://papers.nips.cc/paper/6478-fast-and-provably-good-seedings-for-k-means.pdf)**Olivier Bachem, Mario Lučić, Hamed Hassani et al.*82 citations*
30. **[Learning Deep Parsimonious Representations ↗](https://papers.nips.cc/paper/2016/file/a376033f78e144f494bfc743c0be3330-Paper.pdf)**Renjie Liao, Alexander Gerhard Schwing, Richard S. Zemel et al.*78 citations*
31. **[Bayesian intermittent demand forecasting for large inventories ↗](https://assets.amazon.science/91/60/a24fca1447eebfed585204a0b2b8/bayesian-intermittent-demand-forecasting-for-large-inventories.pdf)**Matthias Seeger, David Salinas, Valentín Flunkert*72 citations*
32. **[Reshaped Wirtinger Flow for Solving Quadratic System of Equations ↗](https://papers.nips.cc/paper/6319-reshaped-wirtinger-flow-for-solving-quadratic-system-of-equations.pdf)**Huishuai Zhang, Yingbin Liang*69 citations*
33. **[Backprop KF: learning discriminative deterministic state estimators ↗](https://papers.nips.cc/paper/2016/file/697e382cfd25b07a3e62275d3ee132b3-Paper.pdf)**Tuomas Haarnoja, Anurag Ajay, Sergey Levine et al.*68 citations*
34. **[Learning from small sample sets by combining unsupervised meta-training with CNNs ↗](https://papers.nips.cc/paper/6408-learning-from-small-sample-sets-by-combining-unsupervised-meta-training-with-cnns.pdf)**Yu-Xiong Wang, Martial Hebert*67 citations*
35. **[Local similarity-aware deep feature embedding ↗](https://papers.nips.cc/paper/6368-local-similarity-aware-deep-feature-embedding.pdf)**Chen Huang, Chen Change Loy, Xiaoou Tang*67 citations*
36. **[Wasserstein Training of Restricted Boltzmann Machines ↗](https://papers.nips.cc/paper/6248-wasserstein-training-of-restricted-boltzmann-machines.pdf)**Grégoire Montavon, K. Robert Müller, Marco Cuturi*65 citations*
37. **[Showing versus doing: Teaching by demonstration ↗](https://papers.nips.cc/paper/6413-showing-versus-doing-teaching-by-demonstration.pdf)**Mark K. Ho, Michael L. Littman, James MacGlashan et al.*64 citations*
38. **[Proximal Deep Structured Models ↗](https://papers.nips.cc/paper/6074-proximal-deep-structured-models.pdf)**Shenlong Wang, Sanja Fidler, Raquel Urtasun*60 citations*
39. **[Without-Replacement Sampling for Stochastic Gradient Methods ↗](https://papers.nips.cc/paper/6245-without-replacement-sampling-for-stochastic-gradient-methods.pdf)**Ohad Shamir*60 citations*
40. **[Learning Kernels with Random Features ↗](https://papers.nips.cc/paper/6180-learning-kernels-with-random-features.pdf)**Aman Sinha, John C. Duchi*58 citations*
41. **[Trading Bitcoin and Online Time Series Prediction ↗](http://proceedings.mlr.press/v55/amjad16.pdf)**Muhammad Jehangir Amjad, Devavrat Shah*57 citations*
42. **[Gaussian Process Bandit Optimisation with Multi-fidelity Evaluations ↗](https://papers.nips.cc/paper/6118-gaussian-process-bandit-optimisation-with-multi-fidelity-evaluations.pdf)**Kirthevasan Kandasamy, Gautam Dasarathy, Junier B. Oliva et al.*56 citations*
43. **[Bayesian Optimization with a Finite Budget: An Approximate Dynamic Programming Approach ↗](https://papers.nips.cc/paper/6188-bayesian-optimization-with-a-finite-budget-an-approximate-dynamic-programming-approach.pdf)**Rémi Lam, Karen E. Willcox, David H. Wolpert*53 citations*
44. **[Bayesian optimization for automated model selection ↗](https://papers.nips.cc/paper/2016/file/3bbfdde8842a5c44a0323518eec97cbe-Paper.pdf)**Gustavo Malkomes, Charles Schaff, Roman Garnett*48 citations*
45. **[Causal meets Submodular: Subset Selection with Directed Information ↗](https://papers.nips.cc/paper/6384-causal-meets-submodular-subset-selection-with-directed-information.pdf)**Yuxun Zhou, Costas J. Spanos*43 citations*
46. **[Coevolutionary Latent Feature Processes for Continuous-Time User-Item Interactions ↗](https://papers.nips.cc/paper/6480-coevolutionary-latent-feature-processes-for-continuous-time-user-item-interactions.pdf)**Yichen Wang, Nan Du, Rakshit Trivedi et al.*41 citations*
47. **[DeepMath - Deep Sequence Models for Premise Selection ↗](https://papers.nips.cc/paper/2016/file/f197002b9a0853eca5e046d9ca4663d5-Paper.pdf)**Alexander A. Alemi, François Chollet, Geoffrey Irving et al.*39 citations*
48. **[Boosting with Abstention ↗](https://papers.nips.cc/paper/6336-boosting-with-abstention.pdf)**Corinna Cortes, Giulia DeSalvo, Mehryar Mohri*38 citations*
49. **[High-Rank Matrix Completion and Clustering under Self-Expressive Models ↗](https://papers.nips.cc/paper/6357-high-rank-matrix-completion-and-clustering-under-self-expressive-models.pdf)**Ehsan Elhamifar*38 citations*
50. **[Blind Regression: Nonparametric Regression for Latent Variable Models via Collaborative Filtering ↗](https://papers.nips.cc/paper/6108-blind-regression-nonparametric-regression-for-latent-variable-models-via-collaborative-filtering.pdf)**Dogyoon Song, Christina Lee, Yihua Li et al.*36 citations*
51. **[Fast Active Set Methods for Online Spike Inference from Calcium Imaging ↗](https://papers.nips.cc/paper/6505-fast-active-set-methods-for-online-spike-inference-from-calcium-imaging.pdf)**Johannes H. Friedrich, Liam Paninski*36 citations*
52. **[Fast Distributed Submodular Cover: Public-Private Data Summarization ↗](https://papers.nips.cc/paper/6540-fast-distributed-submodular-cover-public-private-data-summarization.pdf)**Baharan Mirzasoleiman, Morteza Zadimoghaddam, Amin Karbasi*35 citations*
53. **[Crowdsourced Clustering: Querying Edges vs Triangles ↗](https://papers.nips.cc/paper/6499-crowdsourced-clustering-querying-edges-vs-triangles.pdf)**Ramya Korlakai Vinayak, Babak Hassibi*33 citations*
54. **[Strategic Attentive Writer for Learning Macro-Actions ↗](http://papers.nips.cc/paper/6414-strategic-attentive-writer-for-learning-macro-actions.pdf)**Alexander Vezhnevets, Volodymyr Mnih, Simon Osindero et al.*33 citations*
55. **[Tractable Operations for Arithmetic Circuits of Probabilistic Models ↗](https://papers.nips.cc/paper/6363-tractable-operations-for-arithmetic-circuits-of-probabilistic-models.pdf)**Yujia Shen, Arthur Choi, Adnan Y. Darwiche*33 citations*
56. **[Simple and Efficient Weighted Minwise Hashing ↗](https://papers.nips.cc/paper/2016/file/c2626d850c80ea07e7511bbae4c76f4b-Paper.pdf)**Anshumali Shrivastava*31 citations*
57. **[Architectural Complexity Measures of Recurrent Neural Networks ↗](https://papers.nips.cc/paper/6303-architectural-complexity-measures-of-recurrent-neural-networks.pdf)**Saizheng Zhang, Yuhuai Wu, Tong Che et al.*30 citations*
58. **[Coordinate-wise power method ↗](https://papers.nips.cc/paper/6103-coordinate-wise-power-method.pdf)**Qi Lei, Kai Zhong, Inderjit S. Dhillon*30 citations*
59. **[Normalized Spectral Map Synchronization ↗](https://papers.nips.cc/paper/6128-normalized-spectral-map-synchronization.pdf)**Yanyao Shen, Qixing Huang, Nathan Srebro et al.*30 citations*
60. **[DISCO Nets : DISsimilarity COefficients Networks ↗](https://papers.nips.cc/paper/6143-disco-nets-dissimilarity-coefficients-networks.pdf)**Diane Bouchacourt, Manish Kumar, Sebastian Nowozin*29 citations*
61. **[Multi-armed Bandits: Competing with Optimal Sequences ↗](https://papers.nips.cc/paper/6341-multi-armed-bandits-competing-with-optimal-sequences.pdf)**Zohar S. Karnin, Oren Anava*29 citations*
62. **[Adaptive Smoothed Online Multi-Task Learning ↗](https://papers.nips.cc/paper/2016/file/a869ccbcbd9568808b8497e28275c7c8-Paper.pdf)**Keerthiram Murugesan, Hanxiao Liu, Jaime Carbonell et al.*27 citations*
63. **[Budgeted stream-based active learning via adaptive submodular maximization ↗](https://papers.nips.cc/paper/2016/file/07cdfd23373b17c6b337251c22b7ea57-Paper.pdf)**Kaito Fujii, Hisashi Kashima*27 citations*
64. **[The Power of Optimization from Samples ↗](https://papers.nips.cc/paper/2016/file/c8758b517083196f05ac29810b924aca-Paper.pdf)**Eric Balkanski, Aviad Rubinstein, Yaron Singer*27 citations*
65. **[Efficient High-Order Interaction-Aware Feature Selection Based on Conditional Mutual Information ↗](http://papers.nips.cc/paper/6584-efficient-high-order-interaction-aware-feature-selection-based-on-conditional-mutual-information.pdf)**Аlexander Shishkin, Anastasia Bezzubtseva, Alexey Valerievich Drutsa et al.*26 citations*
66. **[Fast and Flexible Monotonic Functions with Ensembles of Lattices ↗](https://papers.nips.cc/paper/6377-fast-and-flexible-monotonic-functions-with-ensembles-of-lattices.pdf)**Mahdi Milani Fard, Kevin Robert Canini, Andrew Cotter et al.*26 citations*
67. **[Protein Contact Prediction from Amino Acid Co-Evolution Using Convolutional Networks for Graph-Valued Images ↗](https://papers.nips.cc/paper/6488-protein-contact-prediction-from-amino-acid-co-evolution-using-convolutional-networks-for-graph-valued-images.pdf)**Vladimir Golkov, Marcin J. Skwark, Antonij Golkov et al.*26 citations*
68. **[Adaptive Concentration Inequalities for Sequential Decision Problems ↗](https://papers.nips.cc/paper/6493-adaptive-concentration-inequalities-for-sequential-decision-problems.pdf)**Shengjia Zhao, Enze Zhou, Ashish Sabharwal et al.*25 citations*
69. **[Asynchronous Parallel Greedy Coordinate Descent ↗](https://papers.nips.cc/paper/2016/file/43e4e6a6f341e00671e123714de019a8-Paper.pdf)**Yang You, Xiangru Lian, Ji Liu et al.*25 citations*
70. **[Large-Scale Price Optimization via Network Flow ↗](https://papers.nips.cc/paper/2016/file/cb79f8fa58b91d3af6c9c991f63962d3-Paper.pdf)**Shinji Ito, Ryohei Fujimaki*25 citations*
71. **[Mixed Linear Regression with Multiple Components ↗](https://papers.nips.cc/paper/2016/file/8248a99e81e752cb9b41da3fc43fbe7f-Paper.pdf)**Kai Zhong, Prateek Jain, Inderjit S. Dhillon*24 citations*
72. **[SPALS: Fast Alternating Least Squares via Implicit Leverage Scores Sampling ↗](https://papers.nips.cc/paper/6436-spals-fast-alternating-least-squares-via-implicit-leverage-scores-sampling.pdf)**Dehua Cheng, Richard Peng, Yan Liu et al.*24 citations*
73. **[Sublinear time orthogonal tensor decomposition ↗](https://papers.nips.cc/paper/6496-sublinear-time-orthogonal-tensor-decomposition.pdf)**Zhao Song, David P. Woodruff, Huan Zhang*24 citations*
74. **[Achieving the KS threshold in the general stochastic block model with linearized acyclic belief propagation ↗](https://papers.nips.cc/paper/2016/file/6c29793a140a811d0c45ce03c1c93a28-Paper.pdf)**Emmanuel A. Abbe, Colin Sandon*23 citations*
75. **[Deep Alternative Neural Network: Exploring Contexts as Early as Possible for Action Recognition ↗](https://papers.nips.cc/paper/6335-deep-alternative-neural-network-exploring-contexts-as-early-as-possible-for-action-recognition.pdf)**Jinzhuo Wang, Wenmin Wang, Xiongtao Chen et al.*23 citations*
76. **[Incremental Variational Sparse Gaussian Process Regression ↗](https://papers.nips.cc/paper/6473-incremental-variational-sparse-gaussian-process-regression.pdf)**Ching-An Cheng, Byron Boots*22 citations*
77. **[Launch and Iterate: Reducing Prediction Churn ↗](https://papers.nips.cc/paper/2016/file/dc5c768b5dc76a084531934b34601977-Paper.pdf)**Mahdi Milani Fard, Quentin Cormier, Kevin Robert Canini et al.*22 citations*
78. **[Deep learning games ↗](https://papers.nips.cc/paper/6315-deep-learning-games.pdf)**Dale Schuurmans, Martin Zinkevich*19 citations*
79. **[Learning Bayesian networks with ancestral constraints ↗](https://papers.nips.cc/paper/6386-learning-bayesian-networks-with-ancestral-constraints.pdf)**Eunice Yuh-Jie Chen, Yujia Shen, Arthur Choi et al.*19 citations*
80. **[Object based scene representations using fisher scores of local subspace projections ↗](https://papers.nips.cc/paper/6343-object-based-scene-representations-using-fisher-scores-of-local-subspace-projections.pdf)**Mandar Dixit, Nuno M. Vasconcelos*19 citations*
81. **[Supervised learning through the lens of compression ↗](https://papers.nips.cc/paper/6490-supervised-learning-through-the-lens-of-compression.pdf)**Ofir David, Shay Moran, Amir Yehudayoff*19 citations*
82. **[Deep Submodular Functions: Definitions and Learning ↗](https://papers.nips.cc/paper/6361-deep-submodular-functions-definitions-and-learning.pdf)**Brian Dolhansky, Jeff Bilmes*18 citations*
83. **[Differential Privacy without Sensitivity ↗](https://papers.nips.cc/paper/6050-differential-privacy-without-sensitivity.pdf)**Kentaro Minami, HItomi Arai, Issei Sato et al.*18 citations*
84. **[Hierarchical Object Representation for Open-Ended Object Category Learning and Recognition ↗](https://papers.nips.cc/paper/6539-hierarchical-object-representation-for-open-ended-object-category-learning-and-recognition.pdf)**Seyed Hamidreza Kasaei, Ana Maria Tomé, Luís Seabra Lopes*18 citations*
85. **[Robust k-means: a Theoretical Revisit ↗](https://papers.nips.cc/paper/6126-robust-k-means-a-theoretical-revisit.pdf)**Alexandros Georgogiannis*18 citations*
86. **[Yggdrasil: An Optimized System for Training Deep Decision Trees at Scale ↗](https://papers.nips.cc/paper/6366-yggdrasil-an-optimized-system-for-training-deep-decision-trees-at-scale.pdf)**Firas Abuzaid, Joseph K. Bradley, Feynman Liang et al.*18 citations*
87. **[Designing smoothing functions for improved worst-case competitive ratio in online optimization ↗](https://papers.nips.cc/paper/6073-designing-smoothing-functions-for-improved-worst-case-competitive-ratio-in-online-optimization.pdf)**Reza Eghbali, Maryam Fazel*17 citations*
88. **[Learning Sparse Gaussian Graphical Models with Overlapping Blocks ↗](https://papers.nips.cc/paper/6097-learning-sparse-gaussian-graphical-models-with-overlapping-blocks.pdf)**Mohammad Javad Hosseini, Su‐In Lee*17 citations*
89. **[Spatio-Temporal Hilbert Maps for Continuous Occupancy Representation in Dynamic Environments ↗](https://papers.nips.cc/paper/6541-spatio-temporal-hilbert-maps-for-continuous-occupancy-representation-in-dynamic-environments.pdf)**Ransalu Senanayake, Lionel Ott, Simon O’Callaghan et al.*17 citations*
90. **[Threshold Bandits, With and Without Censored Feedback ↗](https://papers.nips.cc/paper/6149-threshold-bandits-with-and-without-censored-feedback.pdf)**Jacob Abernethy, Kareem Amin, Ruihao Zhu*17 citations*
91. **[A state-space model of cross-region dynamic connectivity in MEG/EEG ↗](https://papers.nips.cc/paper/6593-a-state-space-model-of-cross-region-dynamic-connectivity-in-megeeg.pdf)**Ying Yang, Elissa Aminoff, Michael J. Tarr et al.*16 citations*
92. **[Nearly Isometric Embedding by Relaxation ↗](https://papers.nips.cc/paper/6535-nearly-isometric-embedding-by-relaxation.pdf)**James M. McQueen, Marina Meilă, Dominique Perrault-Joncas*15 citations*
93. **[Stochastic Gradient Geodesic MCMC Methods ↗](https://papers.nips.cc/paper/6282-stochastic-gradient-geodesic-mcmc-methods.pdf)**Chang Liu, Jun Zhu, Yang Song*15 citations*
94. **[Assortment Optimization Under the Mallows model ↗](https://papers.nips.cc/paper/6224-assortment-optimization-under-the-mallows-model.pdf)**Antoine Désir, Vineet Goyal, Srikanth Jagabathula et al.*14 citations*
95. **[Optimistic bandit convex optimization ↗](https://papers.nips.cc/paper/2016/file/b20bb95ab626d93fd976af958fbc61ba-Paper.pdf)**Scott Cheng‐Hsin Yang, Mehryar Mohri*14 citations*
96. **[Statistical Inference for Pairwise Graphical Models Using Score Matching ↗](https://papers.nips.cc/paper/6530-statistical-inference-for-pairwise-graphical-models-using-score-matching.pdf)**Ming Yu, Mladen Kolar, Varun Gupta*14 citations*
97. **[A forward model at Purkinje cell synapses facilitates cerebellar anticipatory control ↗](https://papers.nips.cc/paper/6151-a-forward-model-at-purkinje-cell-synapses-facilitates-cerebellar-anticipatory-control.pdf)**Ivan Herreros, Xerxes D. Arsiwalla, Paul F. M. J. Verschure*12 citations*
98. **[Semiparametric Differential Graph Models ↗](https://papers.nips.cc/paper/6529-semiparametric-differential-graph-models.pdf)**Pan Xu, Quanquan Gu*12 citations*
99. **[The Power of Adaptivity in Identifying Statistical Alternatives ↗](https://papers.nips.cc/paper/6072-the-power-of-adaptivity-in-identifying-statistical-alternatives.pdf)**Kevin Jamieson, Daniel Haas, Benjamin Recht*12 citations*
100. **[Consistent Estimation of Functions of Data Missing Non-Monotonically and Not at Random ↗](https://papers.nips.cc/paper/6297-consistent-estimation-of-functions-of-data-missing-non-monotonically-and-not-at-random.pdf)**Ilya Shpitser*11 citations*

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