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ICML 2016: all accepted papers

83 papers · the most cited first · ← ICML 2016

  1. CryptoNets: applying neural networks to encrypted data with high throughput and accuracy ↗Nathan Dowlin, Ran Gilad-Bachrach, Kim Laine et al.1,228 citations
  2. Meta-learning with memory-augmented neural networks ↗Adam Santoro, Sergey Bartunov, Matthew Botvinick et al.1,121 citations
  3. Train faster, generalize better: stability of stochastic gradient descent ↗Moritz Hardt, Benjamin Recht, Yoram Singer364 citations
  4. 33rd International Conference on Machine Learning, ICML 2016 ↗Jelena Luketina, Mathias Berglund, Klaus Greff et al.161 citations
  5. A kernelized stein discrepancy for goodness-of-fit tests ↗Qiang Liu, Jason D. Lee, Michael I. Jordan142 citations
  6. Towards Automatically-Tuned Neural Networks ↗Hector Mendoza, Aaron Klein, Matthias Feurer et al.129 citations
  7. PHOG: probabilistic model for code ↗Pavol Bielik, Veselin Raychev, Martin Vechev101 citations
  8. Persistent RNNs: stashing recurrent weights on-chip ↗Gregory Diamos, Shubho Sengupta, Bryan Catanzaro et al.65 citations
  9. Learning end-to-end video classification with rank-pooling ↗Basura Fernando, Stephen Gould58 citations
  10. Isotonic hawkes processes ↗Yichen Wang, Bo Xie, Nan Du et al.45 citations
  11. Estimating structured vector autoregressive models ↗Igor Melnyk, Arindam Banerjee35 citations
  12. Low-rank matrix approximation with stability ↗Dongsheng Li, Chao Chen, Qin Lv et al.35 citations
  13. Efficient private empirical risk minimization for high-dimensional learning ↗Shiva Prasad Kasiviswanathan, Hongxia Jin34 citations
  14. Robust principal component analysis with side information ↗Kai-Yang Chiang, Cho‐Jui Hsieh, Inderjit S. Dhillon32 citations
  15. Conditional bernoulli mixtures for multi-label classification ↗Cheng Li, Bingyu Wang, Virgil Pavlu et al.31 citations
  16. Speeding up k-means by approximating Euclidean distances via block vectors ↗Thomas Bottesch, Thomas Bühler, Markus Kächele30 citations
  17. Learning Population-Level Diffusions with Generative RNNs ↗Tatsunori Hashimoto, David Kenneth Gifford, Tommi Jaakkola28 citations
  18. Linking losses for density ratio and class-probability estimation ↗Aditya Krishna Menon, Cheng Soon Ong27 citations
  19. ADIOS: architectures deep in output space ↗Moustapha Cissé, Maruan Al-Shedivat, Samy Bengio25 citations
  20. Learning and inference via maximum inner product search ↗Stephen Mussmann, Stefano Ermon25 citations
  21. Estimating accuracy from unlabeled data: a Bayesian approach ↗Emmanouil Antonios Platanios, Avinava Dubey, Tom M. Mitchell23 citations
  22. Truthful univariate estimators ↗Ioannis Caragiannis, Ariel D. Procaccia, Nisarg Shah20 citations
  23. Algorithms for optimizing the ratio of submodular functions ↗Wenruo Bai, Rishabh Iyer, Kai Wei et al.19 citations
  24. The variational Nyström method for large-scale spectral problems ↗Max Vladymyrov, Miguel Á. Carreira-Perpiñán17 citations
  25. Analysis of Deep Neural Networks with Extended Data Jacobian Matrix ↗Shengjie Wang, Abdelrahman Mohamed, Rich Caruana et al.15 citations
  26. Correcting forecasts with multifactor neural attention ↗Matthew Riemer, Aditya Vempaty, Flávio P. Calmon et al.14 citations
  27. Diversity-promoting Bayesian learning of latent variable models ↗Pengtao Xie, Jun Zhu, Eric P. Xing14 citations
  28. On the analysis of complex backup strategies in Monte Carlo tree search ↗Piyush Khandelwal, Elad Liebman, Scott Niekum et al.13 citations
  29. A Strategy for Ranking Optimization Methods using Multiple Criteria ↗Ian Dewancker, Michael McCourt, Scott Clark et al.12 citations
  30. Gaussian quadrature for matrix inverse forms with applications ↗Chengtao Li, Suvrit Sra, Stefanie Jegelka11 citations
  31. No-regret algorithms for heavy-tailed linear bandits ↗Andrés Muñoz Medina, Scott Cheng‐Hsin Yang11 citations
  32. K-means clustering with distributed dimensions ↗Hu Ding, Yu Liu, Lingxiao Huang et al.9 citations
  33. Non-negative matrix factorization under heavy noise ↗Chiranjib Bhattacharyya, Navin Goyal, Ravindran Kannan et al.9 citations
  34. Tensor decomposition via joint matrix schur decomposition ↗Nicolò Colombo, Nikos A. Vlassis9 citations
  35. Computationally efficient Nyström approximation using fast transforms ↗Si Si, Cho‐Jui Hsieh, Inderjit S. Dhillon8 citations
  36. Beyond parity constraints: Fourier analysis of hash functions for inference ↗Tudor Achim, Ashish Sabharwal, Stefano Ermon7 citations
  37. The label complexity of mixed-initiative classifier training ↗Jina Suh, Xiaojin Zhu, Saleema Amershi7 citations
  38. A box-constrained approach for hard permutation problems ↗Cong Han Lim, Stephen J. Wright6 citations
  39. Controlling the distance to a Kemeny consensus without computing it ↗Yunlong Jiao, Anna Korba, Eric Sibony6 citations
  40. Energetic natural gradient descent ↗Philip S. Thomas, Bruno Castro da Silva, Christoph Dann et al.6 citations
  41. Pricing a low-regret seller ↗Hoda Heidari, Mohammad Mahdian, Umar Syed et al.6 citations
  42. Stochastic discrete clenshaw-curtis quadrature ↗Nico Piatkowski, Katharina J. Morik5 citations
  43. Extended and unscented kitchen sinks ↗Edwin V. Bonilla, Daniel Steinberg, Alistair Reid4 citations
  44. Learning population-level diffusions with generative recurrent networks ↗Tatsunori Hashimoto, David Kenneth Gifford, Tommi Jaakkola4 citations
  45. Matrix eigen-decomposition via doubly stochastic riemannian optimization ↗Zhiqiang Xu, Peilin Zhao, Jianneng Cao et al.4 citations
  46. Sparse parameter recovery from aggregated data ↗Avradeep Bhowmik, Joydeep Ghosh, Sanmi Koyejo4 citations
  47. Epigraph projections for fast general convex programming ↗Po-Wei Wang, Matt Wytock, J. Zico Kolter3 citations
  48. Optimal classification with multivariate losses ↗Nagarajan Natarajan, Sanmi Koyejo, Pradeep Ravikumar et al.3 citations
  49. Heteroscedastic sequences: beyond Gaussianity ↗Oren Anava, Shie Mannor2 citations
  50. Markov latent feature models ↗Aonan Zhang, John William Paisley2 citations
  51. Meta-gradient boosted decision tree model for weight and target learning ↗Yury Ustinovskiy, Valentina Fedorova, Gleb Gusev et al.2 citations
  52. Parameter-Free Convex Learning through Coin Betting ↗Francesco Orabona, Dávid Pál1 citation
  53. Interactive Semantic Featuring for Text Classification ↗Patrice Simard, Max Chickering, Jina Suh
  54. Personalization of Search Results using Interactive Intent Modeling ↗Antti Kangasrääsiö, Dorota Głowacka, Samuel Kaski

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