ICML 2016: all accepted papers
- CryptoNets: applying neural networks to encrypted data with high throughput and accuracy ↗Nathan Dowlin, Ran Gilad-Bachrach, Kim Laine et al.1,228 citations
- Meta-learning with memory-augmented neural networks ↗Adam Santoro, Sergey Bartunov, Matthew Botvinick et al.1,121 citations
- Train faster, generalize better: stability of stochastic gradient descent ↗Moritz Hardt, Benjamin Recht, Yoram Singer364 citations
- 33rd International Conference on Machine Learning, ICML 2016 ↗Jelena Luketina, Mathias Berglund, Klaus Greff et al.161 citations
- A kernelized stein discrepancy for goodness-of-fit tests ↗Qiang Liu, Jason D. Lee, Michael I. Jordan142 citations
- Towards Automatically-Tuned Neural Networks ↗Hector Mendoza, Aaron Klein, Matthias Feurer et al.129 citations
- PD-sparse: a primal and dual sparse approach to extreme multiclass and multilabel classification ↗Ian En-Hsu Yen, Xiangru Huang, Kai Zhong et al.121 citations
- PHOG: probabilistic model for code ↗Pavol Bielik, Veselin Raychev, Martin Vechev101 citations
- Persistent RNNs: stashing recurrent weights on-chip ↗Gregory Diamos, Shubho Sengupta, Bryan Catanzaro et al.65 citations
- Learning end-to-end video classification with rank-pooling ↗Basura Fernando, Stephen Gould58 citations
- Isotonic hawkes processes ↗Yichen Wang, Bo Xie, Nan Du et al.45 citations
- Adaptive sampling for SGD by exploiting side information ↗Siddharth Gopal39 citations
- Efficient multi-instance learning for activity recognition from time series data using an auto-regressive hidden Markov model ↗Xinze Guan, Raviv Raich, Weng‐Keen Wong36 citations
- Estimating structured vector autoregressive models ↗Igor Melnyk, Arindam Banerjee35 citations
- Low-rank matrix approximation with stability ↗Dongsheng Li, Chao Chen, Qin Lv et al.35 citations
- Efficient private empirical risk minimization for high-dimensional learning ↗Shiva Prasad Kasiviswanathan, Hongxia Jin34 citations
- Robust principal component analysis with side information ↗Kai-Yang Chiang, Cho‐Jui Hsieh, Inderjit S. Dhillon32 citations
- A distributed variational inference framework for unifying parallel sparse Gaussian process regression models ↗Trong Nghia Hoang, Quang Minh Hoang, Bryan Kian Hsiang Low31 citations
- Conditional bernoulli mixtures for multi-label classification ↗Cheng Li, Bingyu Wang, Virgil Pavlu et al.31 citations
- Speeding up k-means by approximating Euclidean distances via block vectors ↗Thomas Bottesch, Thomas Bühler, Markus Kächele30 citations
- A comparative analysis and study of multiview CNN models for joint object categorization and pose estimation ↗Mohamed Elhoseiny, Tarek El-Gaaly, Amr Bakry et al.29 citations
- Learning Population-Level Diffusions with Generative RNNs ↗Tatsunori Hashimoto, David Kenneth Gifford, Tommi Jaakkola28 citations
- ForecastICU: a prognostic decision support system for timely prediction of intensive care unit admission ↗Jinsung Yoon, Ahmed M. Alaa, Scott B. Hu et al.27 citations
- Linking losses for density ratio and class-probability estimation ↗Aditya Krishna Menon, Cheng Soon Ong27 citations
- The information-theoretic requirements of subspace clustering with missing data ↗Daniel Pimentel-Alarcón, Robert D. Nowak27 citations
- Anytime optimal algorithms in stochastic multi-armed bandits ↗Rémy Degenne, Vianney Perchet26 citations
- Fast methods for estimating the numerical rank of large matrices ↗Shashanka Ubaru, Yousef Saad26 citations
- ADIOS: architectures deep in output space ↗Moustapha Cissé, Maruan Al-Shedivat, Samy Bengio25 citations
- Learning and inference via maximum inner product search ↗Stephen Mussmann, Stefano Ermon25 citations
- No oops, you won't do it again: mechanisms for self-correction in crowdsourcing ↗Nihar B. Shah, Dengyong Zhou24 citations
- Estimating accuracy from unlabeled data: a Bayesian approach ↗Emmanouil Antonios Platanios, Avinava Dubey, Tom M. Mitchell23 citations
- A self-correcting variable-metric algorithm for stochastic optimization ↗Frank E. Curtis21 citations
- Quadratic optimization with orthogonality constraints: explicit Łojasiewicz exponent and linear convergence of line-search methods ↗Huikang Liu, Weijie Wu, Anthony Man–Cho So21 citations
- Truthful univariate estimators ↗Ioannis Caragiannis, Ariel D. Procaccia, Nisarg Shah20 citations
- A Superlinearly-Convergent Proximal Newton-type Method for the Optimization of Finite Sums ↗Anton Rodomanov, Dmitry Kropotov19 citations
- Algorithms for optimizing the ratio of submodular functions ↗Wenruo Bai, Rishabh Iyer, Kai Wei et al.19 citations
- Stochastic optimization for multiview representation learning using partial least squares ↗Raman Arora, Poorya Mianjy, Teodor V. Marinov19 citations
- BASC: applying Bayesian optimization to the search for global minima on potential energy surfaces ↗Shane Carr, Roman Garnett, Cynthia S. Lo18 citations
- The variational Nyström method for large-scale spectral problems ↗Max Vladymyrov, Miguel Á. Carreira-Perpiñán17 citations
- Bounded Off-Policy Evaluation with Missing Data for Course Recommendation and Curriculum Design ↗William Hoiles, Mihaela van der Schaar16 citations
- Analysis of Deep Neural Networks with Extended Data Jacobian Matrix ↗Shengjie Wang, Abdelrahman Mohamed, Rich Caruana et al.15 citations
- On the consistency of feature selection with lasso for non-linear targets ↗Yue Zhang, Soumya Ray, Weihong Guo15 citations
- Correcting forecasts with multifactor neural attention ↗Matthew Riemer, Aditya Vempaty, Flávio P. Calmon et al.14 citations
- Diversity-promoting Bayesian learning of latent variable models ↗Pengtao Xie, Jun Zhu, Eric P. Xing14 citations
- On the analysis of complex backup strategies in Monte Carlo tree search ↗Piyush Khandelwal, Elad Liebman, Scott Niekum et al.13 citations
- Sequence to sequence training of CTC-RNNs with partial windowing ↗Kyuyeon Hwang, Wonyong Sung13 citations
- The knowledge gradient for sequential decision making with stochastic binary feedbacks ↗Yingfei Wang, Chu Wang, Warren B. Powell13 citations
- A Strategy for Ranking Optimization Methods using Multiple Criteria ↗Ian Dewancker, Michael McCourt, Scott Clark et al.12 citations
- Gaussian quadrature for matrix inverse forms with applications ↗Chengtao Li, Suvrit Sra, Stefanie Jegelka11 citations
- No-regret algorithms for heavy-tailed linear bandits ↗Andrés Muñoz Medina, Scott Cheng‐Hsin Yang11 citations
- K-means clustering with distributed dimensions ↗Hu Ding, Yu Liu, Lingxiao Huang et al.9 citations
- Non-negative matrix factorization under heavy noise ↗Chiranjib Bhattacharyya, Navin Goyal, Ravindran Kannan et al.9 citations
- Tensor decomposition via joint matrix schur decomposition ↗Nicolò Colombo, Nikos A. Vlassis9 citations
- Computationally efficient Nyström approximation using fast transforms ↗Si Si, Cho‐Jui Hsieh, Inderjit S. Dhillon8 citations
- Beyond parity constraints: Fourier analysis of hash functions for inference ↗Tudor Achim, Ashish Sabharwal, Stefano Ermon7 citations
- The label complexity of mixed-initiative classifier training ↗Jina Suh, Xiaojin Zhu, Saleema Amershi7 citations
- A box-constrained approach for hard permutation problems ↗Cong Han Lim, Stephen J. Wright6 citations
- Controlling the distance to a Kemeny consensus without computing it ↗Yunlong Jiao, Anna Korba, Eric Sibony6 citations
- Energetic natural gradient descent ↗Philip S. Thomas, Bruno Castro da Silva, Christoph Dann et al.6 citations
- Pricing a low-regret seller ↗Hoda Heidari, Mohammad Mahdian, Umar Syed et al.6 citations
- Asymmetric Multi-task Learning based on Task Relatedness and Confidence. ↗Giwoong Lee, Eunho Yang, Sung Ju Hwang5 citations
- Stochastic discrete clenshaw-curtis quadrature ↗Nico Piatkowski, Katharina J. Morik5 citations
- Extended and unscented kitchen sinks ↗Edwin V. Bonilla, Daniel Steinberg, Alistair Reid4 citations
- Learning population-level diffusions with generative recurrent networks ↗Tatsunori Hashimoto, David Kenneth Gifford, Tommi Jaakkola4 citations
- Matrix eigen-decomposition via doubly stochastic riemannian optimization ↗Zhiqiang Xu, Peilin Zhao, Jianneng Cao et al.4 citations
- PAC lower bounds and efficient algorithms for the max K-armed bandit problem ↗Yahel David, Nahum Shimkin4 citations
- Sparse parameter recovery from aggregated data ↗Avradeep Bhowmik, Joydeep Ghosh, Sanmi Koyejo4 citations
- Accurate robust and efficient error estimation for decision trees ↗Lixin Fan3 citations
- Barron and cover's theory in supervised learning and its application to lasso ↗Masanori Kawakita, Jun’ichi Takeuchi3 citations
- Epigraph projections for fast general convex programming ↗Po-Wei Wang, Matt Wytock, J. Zico Kolter3 citations
- Optimal classification with multivariate losses ↗Nagarajan Natarajan, Sanmi Koyejo, Pradeep Ravikumar et al.3 citations
- Scalable Structure Discovery in Regression using Gaussian Processes ↗Hyunjik Kim, Yee Whye Teh3 citations
- Fast rate analysis of some stochastic optimization algorithms ↗Chao Qu, Huan Xu, Chong Jin Ong2 citations
- Heteroscedastic sequences: beyond Gaussianity ↗Oren Anava, Shie Mannor2 citations
- Markov latent feature models ↗Aonan Zhang, John William Paisley2 citations
- Meta-gradient boosted decision tree model for weight and target learning ↗Yury Ustinovskiy, Valentina Fedorova, Gleb Gusev et al.2 citations
- Parameter-Free Convex Learning through Coin Betting ↗Francesco Orabona, Dávid Pál1 citation
- Interactive Semantic Featuring for Text Classification ↗Patrice Simard, Max Chickering, Jina Suh
- On the statistical limits of convex relaxations: a case study ↗Zhaoran Wang, Quanquan Gu, Han Liu
- Personalization of Search Results using Interactive Intent Modeling ↗Antti Kangasrääsiö, Dorota Głowacka, Samuel Kaski
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