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 [
{
"id": "site_ec4eeb7142",
"title": "A Birth-Death Process for Feature Allocation",
"author": "Konstantina Palla, David Knowles, Zoubin Ghahramani",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/692"
},
{
"id": "site_fc4f4e2a5c",
"title": "A Closer Look at Memorization in Deep Networks",
"author": "David Krueger, Yoshua Bengio, Stanislaw Jastrzebski, Maxinder S. Kanwal, Nicolas Ballas, Asja Fischer, Emmanuel Bengio, Devansh Arpit, Tegan Maharaj, Aaron Courville, Simon Lacoste-Julien",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/874"
},
{
"id": "site_bc3b1b327d",
"title": "A Distributional Perspective on Reinforcement Learning",
"author": "Marc Bellemare, Will Dabney, Remi Munos",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/580"
},
{
"id": "site_3c277c7b73",
"title": "A Divergence Bound for Hybrids of MCMC and Variational Inference and an Application to Langevin Dynamics and SGVI",
"author": "Justin Domke",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/825"
},
{
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"title": "A Laplacian Framework for Option Discovery in Reinforcement Learning",
"author": "Marlos C. Machado, Marc Bellemare, Michael Bowling",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/577"
},
{
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"title": "A Richer Theory of Convex Constrained Optimization with Reduced Projections and Improved Rates",
"author": "Tianbao Yang, Qihang Lin, Lijun Zhang",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/511"
},
{
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"title": "A Semismooth Newton Method for Fast, Generic Convex Programming",
"author": "Alnur Ali, Eric Wong, Zico Kolter",
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"site": "https://icml.cc/virtual/2017/poster/512"
},
{
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"title": "A Simple Multi-Class Boosting Framework with Theoretical Guarantees and Empirical Proficiency",
"author": "Ron Appel, Pietro Perona",
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"site": "https://icml.cc/virtual/2017/poster/675"
},
{
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"title": "A Simulated Annealing Based Inexact Oracle for Wasserstein Loss Minimization",
"author": "Jianbo Ye, James Wang, Jia Li",
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"site": "https://icml.cc/virtual/2017/poster/585"
},
{
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"title": "A Unified Maximum Likelihood Approach for Estimating Symmetric Properties of Discrete Distributions",
"author": "Jayadev Acharya, Hirakendu Das, Alon Orlitsky, Ananda Suresh",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/811"
},
{
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"title": "A Unified Variance Reduction-Based Framework for Nonconvex Low-Rank Matrix Recovery",
"author": "Lingxiao Wang, Xiao Zhang, Quanquan Gu",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/624"
},
{
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"title": "A Unified View of Multi-Label Performance Measures",
"author": "Xi-Zhu Wu, Zhi-Hua Zhou",
"status": "Poster",
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"site": "https://icml.cc/virtual/2017/poster/751"
},
{
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"title": "Accelerating Eulerian Fluid Simulation With Convolutional Networks",
"author": "Jonathan Tompson, Kristofer D Schlachter, Pablo Sprechmann, Ken Perlin",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/549"
},
{
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"title": "Active Heteroscedastic Regression",
"author": "Kamalika Chaudhuri, Prateek Jain, Nagarajan Natarajan",
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"track": "main",
"site": "https://icml.cc/virtual/2017/poster/785"
},
{
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"title": "Active Learning for Accurate Estimation of Linear Models",
"author": "Carlos Riquelme Ruiz, Mohammad Ghavamzadeh, Alessandro Lazaric",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/483"
},
{
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"title": "Active Learning for Cost-Sensitive Classification",
"author": "Akshay Krishnamurthy, Alekh Agarwal, Tzu-Kuo Huang, Hal Daum\u00e9 III, John Langford",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/795"
},
{
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"title": "Active Learning for Top-$K$ Rank Aggregation from Noisy Comparisons",
"author": "Soheil Mohajer, Changho Suh, Adel Elmahdy",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/819"
},
{
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"title": "AdaNet: Adaptive Structural Learning of Artificial Neural Networks",
"author": "Corinna Cortes, Xavi Gonzalvo, Vitaly Kuznetsov, Mehryar Mohri, Scott Yang",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/682"
},
{
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"title": "Adapting Kernel Representations Online Using Submodular Maximization",
"author": "Matthew Schlegel, Yangchen Pan, Jiecao Chen, Martha White",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/668"
},
{
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"title": "Adaptive Consensus ADMM for Distributed Optimization",
"author": "Zheng Xu, Gavin Taylor, Hao Li, Mario Figueiredo, Xiaoming Yuan, Tom Goldstein",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/632"
},
{
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"title": "Adaptive Feature Selection: Computationally Efficient Online Sparse Linear Regression under RIP",
"author": "Satyen Kale, Zohar Karnin, Tengyuan Liang, David Pal",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/760"
},
{
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"title": "Adaptive Multiple-Arm Identification",
"author": "Jiecao Chen, Xi Chen, Qin Zhang, Yuan Zhou",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/546"
},
{
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"title": "Adaptive Neural Networks for Efficient Inference",
"author": "Tolga Bolukbasi, Joseph Wang, Ofer Dekel, Venkatesh Saligrama",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/807"
},
{
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"title": "Adaptive Sampling Probabilities for Non-Smooth Optimization",
"author": "Hongseok Namkoong, Aman Sinha, Steven Yadlowsky, John Duchi",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/562"
},
{
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"title": "Adversarial Feature Matching for Text Generation",
"author": "Yizhe Zhang, Zhe Gan, Kai Fan, Zhi Chen, Ricardo Henao, Dinghan Shen, Lawrence Carin",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/773"
},
{
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"title": "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks",
"author": "Lars Mescheder, Sebastian Nowozin, Andreas Geiger",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/671"
},
{
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"title": "Algebraic Variety Models for High-Rank Matrix Completion",
"author": "Greg Ongie, Laura Balzano, Rebecca Willett, Robert Nowak",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/879"
},
{
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"title": "Algorithmic Stability and Hypothesis Complexity",
"author": "Tongliang Liu, G\u00e1bor Lugosi, Gergely Neu, Dacheng Tao",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/650"
},
{
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"title": "Algorithms for $\\ell_p$ Low-Rank Approximation",
"author": "Flavio Chierichetti, Sreenivas Gollapudi, Ravi Kumar, Silvio Lattanzi, Rina Panigrahy, David Woodruff",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/710"
},
{
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"title": "An Adaptive Test of Independence with Analytic Kernel Embeddings",
"author": "Wittawat Jitkrittum, Zoltan Szabo, Arthur Gretton",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/469"
},
{
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"title": "An Alternative Softmax Operator for Reinforcement Learning",
"author": "Kavosh Asadi, Michael L. Littman",
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"track": "main",
"site": "https://icml.cc/virtual/2017/poster/781"
},
{
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"title": "An Analytical Formula of Population Gradient for two-layered ReLU network and its Applications in Convergence and Critical Point Analysis",
"author": "Yuandong Tian",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/550"
},
{
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"title": "An Efficient, Sparsity-Preserving, Online Algorithm for Low-Rank Approximation",
"author": "David Anderson, Ming Gu",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/833"
},
{
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"title": "An Infinite Hidden Markov Model With Similarity-Biased Transitions",
"author": "Colin Dawson, Chaofan Huang, Clayton T. Morrison",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/649"
},
{
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"title": "Analogical Inference for Multi-relational Embeddings",
"author": "Hanxiao Liu, Yuexin Wu, Yiming Yang",
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"track": "main",
"site": "https://icml.cc/virtual/2017/poster/620"
},
{
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"title": "Analysis and Optimization of Graph Decompositions by Lifted Multicuts",
"author": "Andrea Hornakova, Jan-Hendrik Lange, Bjoern Andres",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/476"
},
{
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"title": "Analytical Guarantees on Numerical Precision of Deep Neural Networks",
"author": "Charbel Sakr, Yongjune Kim, Naresh Shanbhag",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/743"
},
{
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"title": "Approximate Newton Methods and Their Local Convergence",
"author": "Haishan Ye, Luo Luo, Zhihua Zhang",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/715"
},
{
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"title": "Approximate Steepest Coordinate Descent",
"author": "Sebastian Stich, Anant Raj, Martin Jaggi",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/723"
},
{
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"title": "Asymmetric Tri-training for Unsupervised Domain Adaptation",
"author": "Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/616"
},
{
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"title": "Asynchronous Distributed Variational Gaussian Processes for Regression",
"author": "Hao Peng, Shandian Zhe, Xiao Zhang, Yuan Qi",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/629"
},
{
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"title": "Asynchronous Stochastic Gradient Descent with Delay Compensation",
"author": "Shuxin Zheng, Qi Meng, Taifeng Wang, Wei Chen, Nenghai Yu, Zhiming Ma, Tie-Yan Liu",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/564"
},
{
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"title": "Attentive Recurrent Comparators",
"author": "Pranav Shyam, Shubham Gupta, Ambedkar Dukkipati",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/730"
},
{
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"title": "Automated Curriculum Learning for Neural Networks",
"author": "Alex Graves, Marc Bellemare, Jacob Menick, Remi Munos, Koray Kavukcuoglu",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/701"
},
{
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"title": "Automatic Discovery of the Statistical Types of Variables in a Dataset",
"author": "Isabel Valera, Zoubin Ghahramani",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/541"
},
{
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"title": "Averaged-DQN: Variance Reduction and Stabilization for Deep Reinforcement Learning",
"author": "Oron Anschel, Nir Baram, Nahum Shimkin",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/566"
},
{
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"title": "Axiomatic Attribution for Deep Networks",
"author": "Mukund Sundararajan, Ankur Taly, Qiqi Yan",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/850"
},
{
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"title": "Batched High-dimensional Bayesian Optimization via Structural Kernel Learning",
"author": "Zi Wang, Chengtao Li, Stefanie Jegelka, Pushmeet Kohli",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/739"
},
{
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"title": "Bayesian Boolean Matrix Factorisation",
"author": "Tammo Rukat, Christopher Holmes, Michalis Titsias, Christopher Yau",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/716"
},
{
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"title": "Bayesian Models of Data Streams with Hierarchical Power Priors",
"author": "Andres Masegosa, Thomas D. Nielsen, Helge Langseth, Dario Ramos-Lopez, Antonio Salmeron, Anders Madsen",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/775"
},
{
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"title": "Bayesian Optimization with Tree-structured Dependencies",
"author": "Rodolphe Jenatton, Cedric Archambeau, Javier Gonz\u00e1lez, Matthias Seeger",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/666"
},
{
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"title": "Bayesian inference on random simple graphs with power law degree distributions",
"author": "Juho Lee, Creighton Heaukulani, Zoubin Ghahramani, Lancelot F. James, Seungjin Choi",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/570"
},
{
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"title": "Being Robust (in High Dimensions) Can Be Practical",
"author": "Ilias Diakonikolas, Gautam Kamath, Daniel Kane, Jerry Li, Ankur Moitra, Alistair Stewart",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/460"
},
{
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"title": "Beyond Filters: Compact Feature Map for Portable Deep Model",
"author": "Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/466"
},
{
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"title": "Bidirectional learning for time-series models with hidden units",
"author": "Takayuki Osogami, Hiroshi Kajino, Taro Sekiyama",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/528"
},
{
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"title": "Boosted Fitted Q-Iteration",
"author": "Samuele Tosatto, Matteo Pirotta, Carlo D'Eramo, Marcello Restelli",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/676"
},
{
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"title": "Bottleneck Conditional Density Estimation",
"author": "Rui Shu, Hung Bui, Mohammad Ghavamzadeh",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/824"
},
{
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"title": "Breaking Locality Accelerates Block Gauss-Seidel",
"author": "Stephen Tu, Shivaram Venkataraman, Ashia Wilson, Alex Gittens, Michael Jordan, Benjamin Recht",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/502"
},
{
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"title": "Canopy --- Fast Sampling with Cover Trees",
"author": "Manzil Zaheer, Satwik Kottur, Amr Ahmed, Jose Moura, Alex Smola",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/507"
},
{
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"title": "Capacity Releasing Diffusion for Speed and Locality.",
"author": "Di Wang, Kimon Fountoulakis, Monika Henzinger, Michael Mahoney, Satish Rao",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/827"
},
{
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"title": "ChoiceRank: Identifying Preferences from Node Traffic in Networks",
"author": "Lucas Maystre, Matthias Grossglauser",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/519"
},
{
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"title": "Clustering High Dimensional Dynamic Data Streams",
"author": "Lin Yang, Harry Lang, Christian Sohler, Vladimir Braverman, Gereon Frahling",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/626"
},
{
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"title": "Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery",
"author": "Ashkan Panahi, Devdatt Dubhashi, Fredrik D Johansson, Chiranjib Bhattacharya",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/699"
},
{
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"title": "Co-clustering through Optimal Transport",
"author": "Charlotte Laclau, Ievgen Redko, Basarab Matei, Youn\u00e8s Bennani, Vincent Brault",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/591"
},
{
"id": "site_83bce1e89e",
"title": "Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study",
"author": "Samuel Ritter, David GT Barrett, Adam Santoro, Matthew Botvinick",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/536"
},
{
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"title": "Coherence Pursuit: Fast, Simple, and Robust Subspace Recovery",
"author": "Mostafa Rahmani, George Atia",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/527"
},
{
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"title": "Coherent probabilistic forecasts for hierarchical time series",
"author": "Souhaib Ben Taieb, James Taylor, Rob Hyndman",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/633"
},
{
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"title": "Collect at Once, Use Effectively: Making Non-interactive Locally Private Learning Possible",
"author": "Kai Zheng, Wenlong Mou, Liwei Wang",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/860"
},
{
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"title": "Combined Group and Exclusive Sparsity for Deep Neural Networks",
"author": "jaehong yoon, Sung Ju Hwang",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/474"
},
{
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"title": "Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning",
"author": "Yevgen Chebotar, Karol Hausman, Marvin Zhang, Gaurav Sukhatme, Stefan Schaal, Sergey Levine",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/853"
},
{
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"title": "Communication-efficient Algorithms for Distributed Stochastic Principal Component Analysis",
"author": "Dan Garber, Ohad Shamir, Nati Srebro",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/559"
},
{
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"title": "Composing Tree Graphical Models with Persistent Homology Features for Clustering Mixed-Type Data",
"author": "XIUYAN NI, Novi Quadrianto, Yusu Wang, Chao Chen",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/504"
},
{
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"title": "Compressed Sensing using Generative Models",
"author": "Ashish Bora, Ajil Jalal, Eric Price, Alexandros Dimakis",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/796"
},
{
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"title": "Conditional Accelerated Lazy Stochastic Gradient Descent",
"author": "Guanghui , Sebastian Pokutta, Yi Zhou, Daniel Zink",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/510"
},
{
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"title": "Conditional Image Synthesis with Auxiliary Classifier GANs",
"author": "Augustus Odena, Christopher Olah, Jon Shlens",
"status": "Poster",
"track": "main",
"site": "https://icml.cc/virtual/2017/poster/792"
},
{
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