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Tutorial
Mon 8:00 Synthetic Healthcare Data Generation and Assessment: Challenges, Methods, and Impact on Machine Learning
Ahmed M. Alaa, Mihaela van der Schaar
Tutorial
Mon 8:00 Synthetic Healthcare Data Generation and Assessment: Challenges, Methods, and Impact on Machine Learning
Ahmed M. Alaa, Mihaela van der Schaar
Spotlight
Tue 23:35 Generative Adversarial Networks for Markovian Temporal Dynamics: Stochastic Continuous Data Generation
Sung Woo Park, Dong Wook Shu, Junseok Kwon
Spotlight
Tue 23:45 Neural-Pull: Learning Signed Distance Function from Point clouds by Learning to Pull Space onto Surface
Baorui Ma, Zhizhong Han, Yushen Liu, Matthias Zwicker
Poster
Wed 1:00 Neural-Pull: Learning Signed Distance Function from Point clouds by Learning to Pull Space onto Surface
Baorui Ma, Zhizhong Han, Yushen Liu, Matthias Zwicker
Poster
Wed 1:00 Generative Adversarial Networks for Markovian Temporal Dynamics: Stochastic Continuous Data Generation
Sung Woo Park, Dong Wook Shu, Junseok Kwon
Spotlight
Wed 9:25 Quantization Algorithms for Random Fourier Features
Xiaoyun Li, Ping Li
Spotlight
Wed 10:20 Weight-covariance alignment for adversarially robust neural networks
Panagiotis Eustratiadis, Henry Gouk, Da Li, Timothy Hospedales
Spotlight
Wed 10:20 An Identifiable Double VAE For Disentangled Representations
Graziano Mita, Maurizio Filippone, Pietro Michiardi
Spotlight
Wed 10:30 On Characterizing GAN Convergence Through Proximal Duality Gap
Sahil Sidheekh, Aroof Aimen, Narayanan Chatapuram Krishnan
Spotlight
Wed 11:25 Bayesian Optimization over Hybrid Spaces
Aryan Deshwal, Syrine Belakaria, Jana Doppa
Spotlight
Wed 11:30 A Bit More Bayesian: Domain-Invariant Learning with Uncertainty
Zehao Xiao, Jiayi Shen, Xiantong Zhen, Ling Shao, Cees Snoek
Poster
Wed 13:00 A Bit More Bayesian: Domain-Invariant Learning with Uncertainty
Zehao Xiao, Jiayi Shen, Xiantong Zhen, Ling Shao, Cees Snoek
Poster
Wed 13:00 An Identifiable Double VAE For Disentangled Representations
Graziano Mita, Maurizio Filippone, Pietro Michiardi
Poster
Wed 13:00 Bayesian Optimization over Hybrid Spaces
Aryan Deshwal, Syrine Belakaria, Jana Doppa
Poster
Wed 13:00 On Characterizing GAN Convergence Through Proximal Duality Gap
Sahil Sidheekh, Aroof Aimen, Narayanan Chatapuram Krishnan
Poster
Wed 13:00 Weight-covariance alignment for adversarially robust neural networks
Panagiotis Eustratiadis, Henry Gouk, Da Li, Timothy Hospedales
Poster
Wed 13:00 Quantization Algorithms for Random Fourier Features
Xiaoyun Li, Ping Li
Spotlight
Wed 21:20 Uncertainty Principles of Encoding GANs
Ruili Feng, Zhouchen Lin, jiapeng zhu, Deli Zhao, Jingren Zhou, Zheng-Jun Zha
Spotlight
Wed 21:45 Accelerating Safe Reinforcement Learning with Constraint-mismatched Baseline Policies
Jimmy (Tsung-Yen) Yang, Justinian Rosca, Karthik Narasimhan, Peter Ramadge
Poster
Thu 1:00 Accelerating Safe Reinforcement Learning with Constraint-mismatched Baseline Policies
Jimmy (Tsung-Yen) Yang, Justinian Rosca, Karthik Narasimhan, Peter Ramadge
Poster
Thu 1:00 Uncertainty Principles of Encoding GANs
Ruili Feng, Zhouchen Lin, jiapeng zhu, Deli Zhao, Jingren Zhou, Zheng-Jun Zha
Spotlight
Thu 9:25 Understanding Noise Injection in GANs
Ruili Feng, Deli Zhao, Zheng-Jun Zha
Spotlight
Thu 9:40 WGAN with an Infinitely Wide Generator Has No Spurious Stationary Points
Albert No, TaeHo Yoon, Sehyun Kwon, Ernest Ryu
Oral
Wed 18:00 Stability and Generalization of Stochastic Gradient Methods for Minimax Problems
Yunwen Lei, Zhenhuan Yang, Tianbao Yang, Yiming Ying
Spotlight
Thu 10:40 A Novel Method to Solve Neural Knapsack Problems
Duanshun Li, Jing Liu, Dongeun Lee, Ali S. Mazloom, Giridhar Kaushik, Kookjin Lee, Noseong Park
Spotlight
Wed 18:45 Train simultaneously, generalize better: Stability of gradient-based minimax learners
Farzan Farnia, Asuman Ozdaglar
Spotlight
Wed 19:30 Neural SDEs as Infinite-Dimensional GANs
Patrick Kidger, James Foster, Xuechen Li, Terry Lyons
Spotlight
Thu 11:30 Provably Correct Optimization and Exploration with Non-linear Policies
Fei Feng, Wotao Yin, Alekh Agarwal, Lin Yang
Poster
Thu 13:00 A Novel Method to Solve Neural Knapsack Problems
Duanshun Li, Jing Liu, Dongeun Lee, Ali S. Mazloom, Giridhar Kaushik, Kookjin Lee, Noseong Park
Poster
Thu 13:00 Understanding Noise Injection in GANs
Ruili Feng, Deli Zhao, Zheng-Jun Zha
Poster
Thu 13:00 Provably Correct Optimization and Exploration with Non-linear Policies
Fei Feng, Wotao Yin, Alekh Agarwal, Lin Yang
Poster
Wed 21:00 Stability and Generalization of Stochastic Gradient Methods for Minimax Problems
Yunwen Lei, Zhenhuan Yang, Tianbao Yang, Yiming Ying
Poster
Wed 21:00 Train simultaneously, generalize better: Stability of gradient-based minimax learners
Farzan Farnia, Asuman Ozdaglar
Poster
Thu 13:00 WGAN with an Infinitely Wide Generator Has No Spurious Stationary Points
Albert No, TaeHo Yoon, Sehyun Kwon, Ernest Ryu
Poster
Wed 21:00 Neural SDEs as Infinite-Dimensional GANs
Patrick Kidger, James Foster, Xuechen Li, Terry Lyons
Spotlight
Thu 21:40 Hierarchical Clustering of Data Streams: Scalable Algorithms and Approximation Guarantees
Anand Rajagopalan, Fabio Vitale, Danny Vainstein, Gui Citovsky, Cecilia Procopiuc, Claudio Gentile
Spotlight
Thu 23:20 Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline
Ankit Goyal, Hei Law, Bowei Liu, Alejandro Newell, Jia Deng
Spotlight
Thu 23:20 Nonmyopic Multifidelity Acitve Search
Quan Nguyen, Arghavan Modiri, Roman Garnett
Spotlight
Thu 23:45 On the difficulty of unbiased alpha divergence minimization
Tomas Geffner, Justin Domke
Poster
Fri 1:00 On the difficulty of unbiased alpha divergence minimization
Tomas Geffner, Justin Domke
Poster
Fri 1:00 Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline
Ankit Goyal, Hei Law, Bowei Liu, Alejandro Newell, Jia Deng
Poster
Fri 1:00 Nonmyopic Multifidelity Acitve Search
Quan Nguyen, Arghavan Modiri, Roman Garnett
Poster
Fri 1:00 Hierarchical Clustering of Data Streams: Scalable Algorithms and Approximation Guarantees
Anand Rajagopalan, Fabio Vitale, Danny Vainstein, Gui Citovsky, Cecilia Procopiuc, Claudio Gentile
Spotlight
Fri 9:25 Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions
Todd Huster, Jeremy Cohen, Zinan Lin, Kevin Chan, Charles Kamhoua, Nandi O. Leslie, Cho-Yu Chiang, Vyas Sekar
Spotlight
Fri 9:40 Robust Learning for Data Poisoning Attacks
Yunjuan Wang, Poorya Mianjy, Raman Arora
Spotlight
Fri 10:20 Demystifying Inductive Biases for (Beta-)VAE Based Architectures
Dominik Zietlow, Michal Rolinek, Georg Martius
Spotlight
Fri 12:30 Discretization Drift in Two-Player Games
Mihaela Rosca, Yan Wu, Benoit Dherin, David GT Barrett
Spotlight
Fri 12:45 Diffusion Earth Mover's Distance and Distribution Embeddings
Alexander Tong, Guillaume Huguet, Amine Natik, Kincaid Macdonald, MANIK KUCHROO, Ronald Coifman, Guy Wolf, Smita Krishnaswamy
Spotlight
Fri 12:50 CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection
Hanshu YAN, Jingfeng Zhang, Gang Niu, Jiashi Feng, Vincent Tan, Masashi Sugiyama
Poster
Fri 13:00 Diffusion Earth Mover's Distance and Distribution Embeddings
Alexander Tong, Guillaume Huguet, Amine Natik, Kincaid Macdonald, MANIK KUCHROO, Ronald Coifman, Guy Wolf, Smita Krishnaswamy
Poster
Fri 13:00 Discretization Drift in Two-Player Games
Mihaela Rosca, Yan Wu, Benoit Dherin, David GT Barrett
Poster
Fri 13:00 CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection
Hanshu YAN, Jingfeng Zhang, Gang Niu, Jiashi Feng, Vincent Tan, Masashi Sugiyama
Poster
Fri 13:00 Demystifying Inductive Biases for (Beta-)VAE Based Architectures
Dominik Zietlow, Michal Rolinek, Georg Martius
Poster
Fri 13:00 Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions
Todd Huster, Jeremy Cohen, Zinan Lin, Kevin Chan, Charles Kamhoua, Nandi O. Leslie, Cho-Yu Chiang, Vyas Sekar
Poster
Fri 13:00 Robust Learning for Data Poisoning Attacks
Yunjuan Wang, Poorya Mianjy, Raman Arora
Workshop
Sat 12:23 Selective Focusing Learning in Conditional GANs
Kyeongbo Kong, Kyunghun Kim, Woo-jin Song, Suk-Ju Kang
Workshop
Selective Focusing Learning in Conditional GANs
Kyeongbo Kong, Kyunghun Kim, Woo-jin Song, Suk-Ju Kang
Workshop
Sky Image Prediction Using Generative Adversarial Networks for Solar Forecasting
Yuhao Nie
Workshop
EVGen: Adversarial Networks for Learning Electric Vehicle Charging Loads and Hidden Representations
Robert Buechler
Workshop
SubsetGAN: Pattern detection in the activation space for Identifying Synthesised Content
Celia Cintas, Skyler Speakman, Girmaw Abebe Tadesse, Victor Akinwande, Kommy Weldemariam