ICML 2019: all accepted papers
- Learning distance for sequences by learning a ground metric ↗Bing Su, Ying Nian Wu8 citations
- Multiplicative Weights Updates as a distributed constrained optimization algorithm: Convergence to second-order stationary points almost always. ↗Ioannis Panageas, Georgios Piliouras, Xiao Wang8 citations
- Neuron birth-death dynamics accelerates gradient descent and converges asymptotically ↗Grant M. Rotskoff, Samy Jelassi, Joan Bruna et al.8 citations
- Nonlinear Stein Variational Gradient Descent for Learning Diversified Mixture Models ↗Dilin Wang, Qiang Liu8 citations
- SGD with Arbitrary Sampling: General Analysis and Improved Rates. ↗Xun Qian, Peter Richtárik, Robert M. Gower et al.8 citations
- Sequential Facility Location: Approximate Submodularity and Greedy Algorithm. ↗Ehsan Elhamifar8 citations
- Variational Russian Roulette for Deep Bayesian Nonparametrics ↗Kai Xu, Akash Srivastava, Charles A. Sutton8 citations
- Active learning with disagreement graphs ↗Corinna Cortes, Giulia DeSalvo, Mehryar Mohri et al.7 citations
- Adaptive Antithetic Sampling for Variance Reduction ↗Hongyu Ren, Shengjia Zhao, Stefano Ermon7 citations
- Dual Entangled Polynomial Code: Three-Dimensional Coding for Distributed Matrix Multiplication ↗Pedro Soto, Jun Li, Xiaodi Fan7 citations
- Online Learning with Sleeping Experts and Feedback Graphs ↗Corinna Cortes, Giulia DeSalvo, Claudio Gentile et al.7 citations
- Projection onto Minkowski Sums with Application to Constrained Learning. ↗Joong‐Ho Won, Jason Xu, Kenneth L. Lange7 citations
- Revisiting precision recall definition for generative modeling. ↗Loïc Simon, Ryan Webster, Julien Rabin7 citations
- AUCμ: A Performance Metric for Multi-Class Machine Learning Models ↗Ross Kleiman, David Page6 citations
- Dead-ends and Secure Exploration in Reinforcement Learning ↗Mehdi Fatemi, Shikhar Sharma, Harm van Seijen et al.6 citations
- Discriminative Regularization for Latent Variable Models with Applications to Electrocardiography ↗Andrew C. Miller, Ziad Obermeyer, John P. Cunningham et al.6 citations
- GOODE: A Gaussian Off-The-Shelf Ordinary Differential Equation Solver ↗David John, Vincent Heuveline, Michael Schober6 citations
- New results on information theoretic clustering ↗Ferdinando Cicalese, Eduardo Sany Laber, Lucas Murtinho6 citations
- Scaling Up Ordinal Embedding: A Landmark Approach ↗Jesse Anderton, Javed Aslam6 citations
- Static Automatic Batching In TensorFlow ↗Ashish Agarwal6 citations
- A Polynomial Time MCMC Method for Sampling from Continuous Determinantal Point Processes ↗Alireza Rezaei, Shayan Oveis Gharan5 citations
- Doubly-Competitive Distribution Estimation ↗Hao Yi, Alon Orlitsky5 citations
- Finding Options that Minimize Planning Time. ↗Yuu Jinnai, David Lynn Abel, D Ellis Hershkowitz et al.5 citations
- Learning to select for a predefined ranking ↗Aleksei Ustimenko, Aleksandr Vorobev, Gleb Gusev et al.5 citations
- Online learning with kernel losses ↗Niladri S. Chatterji, Aldo Pacchiano, Peter L. Bartlett5 citations
- Sparse Extreme Multi-label Learning with Oracle Property ↗Weiwei Liu, Xiaobo Shen5 citations
- Variational annealing of GANs: A Langevin perspective ↗Chenyang Tao, Shuyang Dai, Liqun Chen et al.5 citations
- Active Learning for Probabilistic Structured Prediction of Cuts and Matchings. ↗Sima Behpour, Anqi Liu, Brian D. Ziebart4 citations
- Improving Model Selection by Employing the Test Data ↗Max Westphal, Werner Brannath4 citations
- Look Ma, No Latent Variables: Accurate Cutset Networks via Compilation ↗Tahrima Rahman, Shasha Jin, Vibhav Gogate4 citations
- ODIN: Optimal Discovery of High-value INformation Using Model-based Deep Reinforcement Learning ↗Sara Zannone, Jose Miguel Hernandez Lobato, Cheng Zhang et al.4 citations
- Per-Decision Option Discounting ↗Anna Harutyunyan, Peter Vrancx, Philippe Hamel et al.4 citations
- Robust Estimation of Tree Structured Gaussian Graphical Models ↗Ashish Katiyar, Jessica Hoffmann, Constantine Caramanis4 citations
- Adjustment Criteria for Generalizing Experimental Findings ↗Juan D. Correa, Jin Wen Tian, Elias Bareinboim3 citations
- Differential Inclusions for Modeling Nonsmooth ADMM Variants: A Continuous Limit Theory ↗Huizhuo Yuan, Yuren Zhou, Chris Junchi Li et al.3 citations
- Hiring Under Uncertainty ↗Manish Purohit, Sreenivas Gollapudi, Manish Raghavan3 citations
- Incorporating Grouping Information into Bayesian Decision Tree Ensembles ↗Junliang Du, Antonio R. Linero3 citations
- Lossless or Quantized Boosting with Integer Arithmetic ↗Richard Nock, Robert C. Williamson3 citations
- PAC Learnability of Node Functions in Networked Dynamical Systems ↗Abhijin Adiga, Chris J. Kuhlman, MADHAV V. MARATHE et al.3 citations
- Communication-Constrained Inference and the Role of Shared Randomness ↗Jayadev Acharya, Clément L. Canonne, Himanshu Tyagi2 citations
- Model Function Based Conditional Gradient Method with Armijo-like Line Search ↗Peter Ochs, Yura Malitsky2 citations
- Optimal Minimal Margin Maximization with Boosting ↗Alexander Mathiasen, Kasper Green Larsen, Allan Grønlund2 citations
- Tight Kernel Query Complexity of Kernel Ridge Regression and Kernel k-means Clustering. ↗Taisuke Yasuda, David P. Woodruff, Manuel Fernández2 citations
- Trainable Decoding of Sets of Sequences for Neural Sequence Models ↗Ashwin Kalyan, Peter Anderson, Stefan Lee et al.2 citations
- An Agent-Based Model of Financial Benchmark Manipulation ↗Megan Shearer, Gabriel V. Rauterberg, Michael P. Wellman1 citation
- Fast Algorithm for Generalized Multinomial Models with Ranking Data ↗Jiaqi Gu, Guosheng Yin1 citation
- Tractable Probabilistic Reasoning Through Effective Grounding ↗Eriq Augustine, Theodoros Rekatsinas, Lise C. Getoor1 citation
- Trimming the 1 Regularizer: Statistical Analysis, Optimization, and Applications to Deep Learning. ↗Jihun Yun, Peng Zheng, Eunho Yang et al.1 citation
- Conditional Independence in Testing Bayesian Networks ↗Yujia Shen, Haiying Huang, Arthur Choi et al.
- Fast and Stable Maximum Likelihood Estimation for Incomplete Multinomial Models ↗Chenyang Zhang, Guosheng Yin
- Neural Approaches to Conversational AI – Tutorial at ICML 2018 ↗Jianfeng Gao, Michel Galley
- Pareto Optimal Streaming Unsupervised Classification ↗Soumya Basu, Steven Gutstein, Brent J. Lance et al.
- Tractable Marginal Inference for Hinge-Loss Markov Random Fields ↗Varun R. Embar, Sriram Srinivasan, Lise C. Getoor
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