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title: "ICML 2019 — all accepted papers, page 2 — the most cited first"
description: "All 154 papers of ICML 2019 · page 2 of 2, the most cited first; those with our summary link to it."
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# ICML 2019: all accepted papers

154 papers · page 2 of 2 · the most cited first · [← ICML 2019](https://md.research.elamur.ai/free/en/venues/international-conference-on-machine-learning/2019/)

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101. **[Learning distance for sequences by learning a ground metric ↗](http://proceedings.mlr.press/v97/su19b/su19b.pdf)**Bing Su, Ying Nian Wu*8 citations*
102. **[Multiplicative Weights Updates as a distributed constrained optimization algorithm: Convergence to second-order stationary points almost always. ↗](http://proceedings.mlr.press/v97/panageas19a/panageas19a.pdf)**Ioannis Panageas, Georgios Piliouras, Xiao Wang*8 citations*
103. **[Neuron birth-death dynamics accelerates gradient descent and converges asymptotically ↗](http://proceedings.mlr.press/v97/rotskoff19a/rotskoff19a.pdf)**Grant M. Rotskoff, Samy Jelassi, Joan Bruna et al.*8 citations*
104. **[Nonlinear Stein Variational Gradient Descent for Learning Diversified Mixture Models ↗](http://proceedings.mlr.press/v97/wang19h/wang19h.pdf)**Dilin Wang, Qiang Liu*8 citations*
105. **[SGD with Arbitrary Sampling: General Analysis and Improved Rates. ↗](http://proceedings.mlr.press/v97/qian19b/qian19b.pdf)**Xun Qian, Peter Richtárik, Robert M. Gower et al.*8 citations*
106. **[Sequential Facility Location: Approximate Submodularity and Greedy Algorithm. ↗](http://proceedings.mlr.press/v97/elhamifar19a/elhamifar19a.pdf)**Ehsan Elhamifar*8 citations*
107. **[Variational Russian Roulette for Deep Bayesian Nonparametrics ↗](http://proceedings.mlr.press/v97/xu19e/xu19e.pdf)**Kai Xu, Akash Srivastava, Charles A. Sutton*8 citations*
108. **[Active learning with disagreement graphs ↗](http://proceedings.mlr.press/v97/cortes19b/cortes19b.pdf)**Corinna Cortes, Giulia DeSalvo, Mehryar Mohri et al.*7 citations*
109. **[Adaptive Antithetic Sampling for Variance Reduction ↗](http://proceedings.mlr.press/v97/ren19b/ren19b.pdf)**Hongyu Ren, Shengjia Zhao, Stefano Ermon*7 citations*
110. **[Dual Entangled Polynomial Code: Three-Dimensional Coding for Distributed Matrix Multiplication ↗](http://proceedings.mlr.press/v97/soto19a/soto19a.pdf)**Pedro Soto, Jun Li, Xiaodi Fan*7 citations*
111. **[Online Learning with Sleeping Experts and Feedback Graphs ↗](http://proceedings.mlr.press/v97/cortes19a/cortes19a.pdf)**Corinna Cortes, Giulia DeSalvo, Claudio Gentile et al.*7 citations*
112. **[Projection onto Minkowski Sums with Application to Constrained Learning. ↗](http://proceedings.mlr.press/v97/lange19a/lange19a.pdf)**Joong‐Ho Won, Jason Xu, Kenneth L. Lange*7 citations*
113. **[Revisiting precision recall definition for generative modeling. ↗](http://proceedings.mlr.press/v97/simon19a/simon19a.pdf)**Loïc Simon, Ryan Webster, Julien Rabin*7 citations*
114. **[AUCμ: A Performance Metric for Multi-Class Machine Learning Models ↗](http://proceedings.mlr.press/v97/kleiman19a/kleiman19a.pdf)**Ross Kleiman, David Page*6 citations*
115. **[Dead-ends and Secure Exploration in Reinforcement Learning ↗](http://proceedings.mlr.press/v97/fatemi19a/fatemi19a.pdf)**Mehdi Fatemi, Shikhar Sharma, Harm van Seijen et al.*6 citations*
116. **[Discriminative Regularization for Latent Variable Models with Applications to Electrocardiography ↗](http://proceedings.mlr.press/v97/miller19a/miller19a.pdf)**Andrew C. Miller, Ziad Obermeyer, John P. Cunningham et al.*6 citations*
117. **[GOODE: A Gaussian Off-The-Shelf Ordinary Differential Equation Solver ↗](http://proceedings.mlr.press/v97/john19a/john19a.pdf)**David John, Vincent Heuveline, Michael Schober*6 citations*
118. **[New results on information theoretic clustering ↗](http://proceedings.mlr.press/v97/cicalese19a/cicalese19a.pdf)**Ferdinando Cicalese, Eduardo Sany Laber, Lucas Murtinho*6 citations*
119. **[Scaling Up Ordinal Embedding: A Landmark Approach ↗](http://proceedings.mlr.press/v97/anderton19a/anderton19a.pdf)**Jesse Anderton, Javed Aslam*6 citations*
120. **[Static Automatic Batching In TensorFlow ↗](http://proceedings.mlr.press/v97/agarwal19a/agarwal19a.pdf)**Ashish Agarwal*6 citations*
121. **[A Polynomial Time MCMC Method for Sampling from Continuous Determinantal Point Processes ↗](http://proceedings.mlr.press/v97/rezaei19a/rezaei19a.pdf)**Alireza Rezaei, Shayan Oveis Gharan*5 citations*
122. **[Doubly-Competitive Distribution Estimation ↗](http://proceedings.mlr.press/v97/hao19a/hao19a.pdf)**Hao Yi, Alon Orlitsky*5 citations*
123. **[Finding Options that Minimize Planning Time. ↗](http://proceedings.mlr.press/v97/jinnai19a/jinnai19a.pdf)**Yuu Jinnai, David Lynn Abel, D Ellis Hershkowitz et al.*5 citations*
124. **[Learning to select for a predefined ranking ↗](http://proceedings.mlr.press/v97/vorobev19a/vorobev19a.pdf)**Aleksei Ustimenko, Aleksandr Vorobev, Gleb Gusev et al.*5 citations*
125. **[Online learning with kernel losses ↗](http://proceedings.mlr.press/v97/chatterji19a/chatterji19a.pdf)**Niladri S. Chatterji, Aldo Pacchiano, Peter L. Bartlett*5 citations*
126. **[Sparse Extreme Multi-label Learning with Oracle Property ↗](http://proceedings.mlr.press/v97/liu19d/liu19d.pdf)**Weiwei Liu, Xiaobo Shen*5 citations*
127. **[Variational annealing of GANs: A Langevin perspective ↗](http://proceedings.mlr.press/v97/tao19a/tao19a.pdf)**Chenyang Tao, Shuyang Dai, Liqun Chen et al.*5 citations*
128. **[Active Learning for Probabilistic Structured Prediction of Cuts and Matchings. ↗](http://proceedings.mlr.press/v97/behpour19a/behpour19a.pdf)**Sima Behpour, Anqi Liu, Brian D. Ziebart*4 citations*
129. **[Improving Model Selection by Employing the Test Data ↗](http://proceedings.mlr.press/v97/westphal19a/westphal19a.pdf)**Max Westphal, Werner Brannath*4 citations*
130. **[Look Ma, No Latent Variables: Accurate Cutset Networks via Compilation ↗](http://proceedings.mlr.press/v97/rahman19a/rahman19a.pdf)**Tahrima Rahman, Shasha Jin, Vibhav Gogate*4 citations*
131. **[ODIN: Optimal Discovery of High-value INformation Using Model-based Deep Reinforcement Learning ↗](https://www.microsoft.com/en-us/research/uploads/prod/2019/11/odin_icml_workshop.pdf)**Sara Zannone, Jose Miguel Hernandez Lobato, Cheng Zhang et al.*4 citations*
132. **[Per-Decision Option Discounting ↗](http://proceedings.mlr.press/v97/harutyunyan19a/harutyunyan19a.pdf)**Anna Harutyunyan, Peter Vrancx, Philippe Hamel et al.*4 citations*
133. **[Robust Estimation of Tree Structured Gaussian Graphical Models ↗](http://proceedings.mlr.press/v97/katiyar19a/katiyar19a.pdf)**Ashish Katiyar, Jessica Hoffmann, Constantine Caramanis*4 citations*
134. **[Adjustment Criteria for Generalizing Experimental Findings ↗](http://proceedings.mlr.press/v97/correa19a/correa19a.pdf)**Juan D. Correa, Jin Wen Tian, Elias Bareinboim*3 citations*
135. **[Differential Inclusions for Modeling Nonsmooth ADMM Variants: A Continuous Limit Theory ↗](http://proceedings.mlr.press/v97/yuan19c/yuan19c.pdf)**Huizhuo Yuan, Yuren Zhou, Chris Junchi Li et al.*3 citations*
136. **[Fast Direct Search in an Optimally Compressed Continuous Target Space for Efficient Multi-Label Active Learning ↗](http://proceedings.mlr.press/v97/shi19b/shi19b.pdf)**Weishi Shi, Qi Yu*3 citations*
137. **[Hiring Under Uncertainty ↗](http://proceedings.mlr.press/v97/purohit19a/purohit19a.pdf)**Manish Purohit, Sreenivas Gollapudi, Manish Raghavan*3 citations*
138. **[Incorporating Grouping Information into Bayesian Decision Tree Ensembles ↗](http://proceedings.mlr.press/v97/du19d/du19d.pdf)**Junliang Du, Antonio R. Linero*3 citations*
139. **[Lossless or Quantized Boosting with Integer Arithmetic ↗](http://proceedings.mlr.press/v97/nock19a/nock19a.pdf)**Richard Nock, Robert C. Williamson*3 citations*
140. **[PAC Learnability of Node Functions in Networked Dynamical Systems ↗](http://proceedings.mlr.press/v97/adiga19a/adiga19a.pdf)**Abhijin Adiga, Chris J. Kuhlman, MADHAV V. MARATHE et al.*3 citations*
141. **[Communication-Constrained Inference and the Role of Shared Randomness ↗](http://proceedings.mlr.press/v97/acharya19a/acharya19a.pdf)**Jayadev Acharya, Clément L. Canonne, Himanshu Tyagi*2 citations*
142. **[Model Function Based Conditional Gradient Method with Armijo-like Line Search ↗](http://proceedings.mlr.press/v97/ochs19a/ochs19a.pdf)**Peter Ochs, Yura Malitsky*2 citations*
143. **[Optimal Minimal Margin Maximization with Boosting ↗](http://proceedings.mlr.press/v97/mathiasen19a/mathiasen19a.pdf)**Alexander Mathiasen, Kasper Green Larsen, Allan Grønlund*2 citations*
144. **[Tight Kernel Query Complexity of Kernel Ridge Regression and Kernel k-means Clustering. ↗](http://proceedings.mlr.press/v97/yasuda19a/yasuda19a.pdf)**Taisuke Yasuda, David P. Woodruff, Manuel Fernández*2 citations*
145. **[Trainable Decoding of Sets of Sequences for Neural Sequence Models ↗](http://proceedings.mlr.press/v97/kalyan19a/kalyan19a.pdf)**Ashwin Kalyan, Peter Anderson, Stefan Lee et al.*2 citations*
146. **[An Agent-Based Model of Financial Benchmark Manipulation ↗](https://par.nsf.gov/biblio/10105527-agent-based-model-financial-benchmark-manipulation)**Megan Shearer, Gabriel V. Rauterberg, Michael P. Wellman*1 citation*
147. **[Fast Algorithm for Generalized Multinomial Models with Ranking Data ↗](http://proceedings.mlr.press/v97/gu19a/gu19a.pdf)**Jiaqi Gu, Guosheng Yin*1 citation*
148. **[Tractable Probabilistic Reasoning Through Effective Grounding ↗](https://par.nsf.gov/biblio/10110919-tractable-probabilistic-reasoning-through-effective-grounding)**Eriq Augustine, Theodoros Rekatsinas, Lise C. Getoor*1 citation*
149. **[Trimming the 1 Regularizer: Statistical Analysis, Optimization, and Applications to Deep Learning. ↗](http://proceedings.mlr.press/v97/yun19a/yun19a.pdf)**Jihun Yun, Peng Zheng, Eunho Yang et al.*1 citation*
150. **[Conditional Independence in Testing Bayesian Networks ↗](http://proceedings.mlr.press/v97/shen19a/shen19a.pdf)**Yujia Shen, Haiying Huang, Arthur Choi et al.
151. **[Fast and Stable Maximum Likelihood Estimation for Incomplete Multinomial Models ↗](http://proceedings.mlr.press/v97/zhang19o/zhang19o.pdf)**Chenyang Zhang, Guosheng Yin
152. **[Neural Approaches to Conversational AI – Tutorial at ICML 2018 ↗](https://www.microsoft.com/en-us/research/publication/neural-approaches-to-conversational-ai-3/)**Jianfeng Gao, Michel Galley
153. **[Pareto Optimal Streaming Unsupervised Classification ↗](http://proceedings.mlr.press/v97/basu19a/basu19a.pdf)**Soumya Basu, Steven Gutstein, Brent J. Lance et al.
154. **[Tractable Marginal Inference for Hinge-Loss Markov Random Fields ↗](https://par.nsf.gov/biblio/10110918-tractable-marginal-inference-hinge-loss-markov-random-fields)**Varun R. Embar, Sriram Srinivasan, Lise C. Getoor

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