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• Abstract Interpretation of Decision Tree Ensemble Classifiers

  Francesco Ranzato, Marco Zanella

  5478-5486

  2020-04-03

• Optimizing Nondecomposable Data Dependent Regularizers via Lagrangian Reparameterization Offers Significant Performance and Efficiency Gains

  Sathya N. Ravi, Abhay Venkatesh, Glenn M. Fung, Vikas Singh

  5487-5494

  2020-04-03

• DARB: A Density-Adaptive Regular-Block Pruning for Deep Neural Networks

  Ren Ao, Zhang Tao, Wang Yuhao, Lin Sheng, Dong Peiyan, Chen Yen-kuang, Xie Yuan, Wang Yanzhi

  5495-5502

  2020-04-03

• Delay-Adaptive Distributed Stochastic Optimization

  Zhaolin Ren, Zhengyuan Zhou, Linhai Qiu, Ajay Deshpande, Jayant Kalagnanam

  5503-5510

  2020-04-03

• Fairness for Robust Log Loss Classification

  Ashkan Rezaei, Rizal Fathony, Omid Memarrast, Brian Ziebart

  5511-5518

  2020-04-03

• On the Role of Weight Sharing During Deep Option Learning

  Matthew Riemer, Ignacio Cases, Clemens Rosenbaum, Miao Liu, Gerald Tesauro

  5519-5526

  2020-04-03

• Ensembles of Locally Independent Prediction Models

  Andrew Ross, Weiwei Pan, Leo Celi, Finale Doshi-Velez

  5527-5536

  2020-04-03

• Actionable Ethics through Neural Learning

  Daniele Rossini, Danilo Croce, Sara Mancini, Massimo Pellegrino, Roberto Basili

  5537-5544

  2020-04-03

• Generative Continual Concept Learning

  Mohammad Rostami, Soheil Kolouri, Praveen Pilly, James McClelland

  5545-5552

  2020-04-03

• Linear Context Transform Block

  Dongsheng Ruan, Jun Wen, Nenggan Zheng, Min Zheng

  5553-5560

  2020-04-03

• Chained Representation Cycling: Learning to Estimate 3D Human Pose and Shape by Cycling Between Representations

  Nadine Rueegg, Christoph Lassner, Michael Black, Konrad Schindler, Nadine Rueegg, Christoph Lassner, Michael Black, Konrad Schindler

  5561-5569

  2020-04-03

• Weakly Supervised Sequence Tagging from Noisy Rules

  Esteban Safranchik, Shiying Luo, Stephen Bach

  5570-5578

  2020-04-03

• Random Intersection Graphs and Missing Data

  Dror Salti, Yakir Berchenko

  5579-5585

  2020-04-03

• Rank3DGAN: Semantic Mesh Generation Using Relative Attributes

  Yassir Saquil, Qun-Ce Xu, Yong-Liang Yang, Peter Hall

  5586-5594

  2020-04-03

• Weighted Sampling for Combined Model Selection and Hyperparameter Tuning

  Dimitrios Sarigiannis, Thomas Parnell, Haralampos Pozidis

  5595-5603

  2020-04-03

• Graph Representation Learning via Ladder Gamma Variational Autoencoders

  Arindam Sarkar, Nikhil Mehta, Piyush Rai

  5604-5611

  2020-04-03

• Learning Counterfactual Representations for Estimating Individual Dose-Response Curves

  Patrick Schwab, Lorenz Linhardt, Stefan Bauer, Joachim M. Buhmann, Walter Karlen

  5612-5619

  2020-04-03

• Uncertainty-Aware Deep Classifiers Using Generative Models

  Murat Sensoy, Lance Kaplan, Federico Cerutti, Maryam Saleki

  5620-5627

  2020-04-03

• Empirical Bounds on Linear Regions of Deep Rectifier Networks

  Thiago Serra, Srikumar Ramalingam

  5628-5635

  2020-04-03

• Universal Adversarial Training

  Ali Shafahi, Mahyar Najibi, Zheng Xu, John Dickerson, Larry S. Davis, Tom Goldstein

  5636-5643

  2020-04-03

• Sequential Mode Estimation with Oracle Queries

  Dhruti Shah, Tuhinangshu Choudhury, Nikhil Karamchandani, Aditya Gopalan

  5644-5651

  2020-04-03

• Online Active Learning of Reject Option Classifiers

  Kulin Shah, Naresh Manwani

  5652-5659

  2020-04-03

• Improved PAC-Bayesian Bounds for Linear Regression

  Vera Shalaeva, Alireza Fakhrizadeh Esfahani, Pascal Germain, Mihaly Petreczky

  5660-5667

  2020-04-03

• Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs

  Lior Shani, Yonathan Efroni, Shie Mannor

  5668-5675

  2020-04-03

• Transfer Value Iteration Networks

  Junyi Shen, Hankz Hankui Zhuo, Jin Xu, Bin Zhong, Sinno Pan

  5676-5683

  2020-04-03