ICML

R2-B2: Recursive Reasoning-Based Bayesian Optimization for No-Regret Learning in Games

Zhongxiang Dai, Yizhou Chen, Kian Hsiang Low, Patrick Jaillet, Teck-Hua Ho

Comments Accepted to 37th International Conference on Machine Learning (ICML 2020), Extended version with proofs and additional experimental details and results, 27 pages

Sharp Statistical Guarantees for Adversarially Robust Gaussian Classification

Chen Dan, Yuting Wei, Pradeep Ravikumar

Comments 25 pages, 1 figure. Accepted by ICML 2020

An EM Approach to Non-autoregressive Conditional Sequence Generation

Zhiqing Sun, Yiming Yang

Comments Accepted to ICML 2020

Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising

Xiaotian Hao, Zhaoqing Peng, Yi Ma, Guan Wang, Junqi Jin, Jianye Hao, Shan Chen, Rongquan Bai, Mingzhou Xie, Miao Xu, Zhenzhe Zheng, Chuan Yu, Han Li, Jian Xu, Kun Gai

Comments accepted by ICML 2020

Progressive Graph Learning for Open-Set Domain Adaptation

Yadan Luo, Zijian Wang, Zi Huang, Mahsa Baktashmotlagh

Journal ref International Conference on Machine Learning (ICML 2020)

DisCont: Self-Supervised Visual Attribute Disentanglement using Context Vectors

Sarthak Bhagat, Vishaal Udandarao, Shagun Uppal

Comments Published at the 37th International Conference on Machine Learning (ICML 2020) Workshop on ML Interpretability for Scientific Discovery

On Coresets For Regularized Regression

Rachit Chhaya, Anirban Dasgupta, Supratim Shit

Comments Accepted at ICML 2020. Acknowledgements added. Minor errors fixed

Sparsified Linear Programming for Zero-Sum Equilibrium Finding

Brian Hu Zhang, Tuomas Sandholm

Comments Accepted for publication at ICML 2020

Graph-based, Self-Supervised Program Repair from Diagnostic Feedback

Michihiro Yasunaga, Percy Liang

Comments ICML 2020. Code & data available at https://github.com/michiyasunaga/DrRepair

Nonparametric Score Estimators

Yuhao Zhou, Jiaxin Shi, Jun Zhu

Comments ICML 2020

Input-Sparsity Low Rank Approximation in Schatten Norm

Yi Li, David Woodruff

Comments Submitted to ICML 2020. In this version, we state the result for rectangular matrices in the abstract and introduction and give an example comparing to low-rank approximation to A^TA

Up or Down? Adaptive Rounding for Post-Training Quantization

Markus Nagel, Rana Ali Amjad, Mart van Baalen, Christos Louizos, Tijmen Blankevoort

Comments Published as a conference paper at ICML 2020

Mix-n-Match: Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning

Jize Zhang, Bhavya Kailkhura, T. Yong-Jin Han

Comments ICML 2020

AutoML-Zero: Evolving Machine Learning Algorithms From Scratch

Esteban Real, Chen Liang, David R. So, Quoc V. Le

Comments Accepted for publication at the 37th International Conference on Machine Learning (ICML 2020). Near camera-ready version

Problems with Shapley-value-based explanations as feature importance measures

I. Elizabeth Kumar, Suresh Venkatasubramanian, Carlos Scheidegger, Sorelle Friedler

Comments Accepted to ICML 2020

On the Sample Complexity of Adversarial Multi-Source PAC Learning

Nikola Konstantinov, Elias Frantar, Dan Alistarh, Christoph H. Lampert

Comments International Conference on Machine Learning (ICML) 2020: Camera-ready. Strengthened the definition of adversarial PAC-learnability, added explicit bounds on sample complexity

Fast Differentiable Sorting and Ranking

Mathieu Blondel, Olivier Teboul, Quentin Berthet, Josip Djolonga

Comments In proceedings of ICML 2020

Attentive Group Equivariant Convolutional Networks

David W. Romero, Erik J. Bekkers, Jakub M. Tomczak, Mark Hoogendoorn

Comments Proceedings of the 37th International Conference on Machine Learning (ICML), 2020

Non-Autoregressive Machine Translation with Disentangled Context Transformer

Jungo Kasai, James Cross, Marjan Ghazvininejad, Jiatao Gu

Comments ICML 2020

Information-Theoretic Local Minima Characterization and Regularization

Zhiwei Jia, Hao Su

Comments ICML 2020

Inductive-bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters

Subho S Banerjee, Saurabh Jha, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer

Comments Scheduling, Bayesian, POMDP, Sampling, Deep Reinforcement Learning, Accelerators, FPGA, GPU

Journal ref Proceedings of the 37th International Conference on Machine Learning, Vienna, Austria, PMLR 119, 2020

Non-Autoregressive Neural Text-to-Speech

Kainan Peng, Wei Ping, Zhao Song, Kexin Zhao

Comments Published at ICML 2020. (v3 changed paper title)

Learning Robot Skills with Temporal Variational Inference

Tanmay Shankar, Abhinav Gupta

Comments Accepted at ICML 2020

Legal Risks of Adversarial Machine Learning Research

Ram Shankar Siva Kumar, Jonathon Penney, Bruce Schneier, Kendra Albert

Comments Accepted at ICML 2020 Workshop on Law & Machine Learning

SoftSort: A Continuous Relaxation for the argsort Operator

Sebastian Prillo, Julian Martin Eisenschlos

Comments 9 pages, 6 figures. Accepted at ICML 2020

Robustifying Sequential Neural Processes

Jaesik Yoon, Gautam Singh, Sungjin Ahn

Comments Accepted in ICML 2020

Retro*: Learning Retrosynthetic Planning with Neural Guided A* Search

Binghong Chen, Chengtao Li, Hanjun Dai, Le Song

Comments Presented at ICML 2020

Lookahead-Bounded Q-Learning

Ibrahim El Shar, Daniel R. Jiang

Comments To appear in proceedings of the 37th International Conference on Machine Learning

Scalable Deep Generative Modeling for Sparse Graphs

Hanjun Dai, Azade Nazi, Yujia Li, Bo Dai, Dale Schuurmans

Comments ICML 2020

Maximum Entropy Model Rollouts: Fast Model Based Policy Optimization without Compounding Errors

Chi Zhang, Sanmukh Rao Kuppannagari, Viktor K Prasanna

Comments ICML BIG Workshop 2020, camera ready version