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Poster
Wed 18:30 Learning to Pivot with Adversarial Networks
Gilles Louppe · Michael Kagan · Kyle Cranmer
Poster
Tue 18:30 The power of absolute discounting: all-dimensional distribution estimation
Moein Falahatgar · Mesrob Ohannessian · Alon Orlitsky · Venkatadheeraj Pichapati
Poster
Mon 18:30 Revisit Fuzzy Neural Network: Demystifying Batch Normalization and ReLU with Generalized Hamming Network
Lixin Fan
Poster
Wed 18:30 f-GANs in an Information Geometric Nutshell
Richard Nock · Zac Cranko · Aditya K Menon · Lizhen Qu · Robert Williamson
Poster
Wed 18:30 Learning Causal Structures Using Regression Invariance
AmirEmad Ghassami · Saber Salehkaleybar · Negar Kiyavash · Kun Zhang
Poster
Tue 18:30 Communication-Efficient Distributed Learning of Discrete Distributions
Ilias Diakonikolas · Elena Grigorescu · Jerry Li · Abhiram Natarajan · Krzysztof Onak · Ludwig Schmidt
Poster
Tue 18:30 AIDE: An algorithm for measuring the accuracy of probabilistic inference algorithms
Marco Cusumano-Towner · Vikash Mansinghka
Poster
Tue 18:30 On Optimal Generalizability in Parametric Learning
Ahmad Beirami · Meisam Razaviyayn · Shahin Shahrampour · Vahid Tarokh
Poster
Tue 18:30 Multi-Objective Non-parametric Sequential Prediction
Guy Uziel · Ran El-Yaniv
Poster
Wed 18:30 Fully Decentralized Policies for Multi-Agent Systems: An Information Theoretic Approach
Roel Dobbe · David Fridovich-Keil · Claire Tomlin
Poster
Tue 18:30 Convolutional Phase Retrieval
Qing Qu · Yuqian Zhang · Yonina Eldar · John Wright
Poster
Mon 18:30 Solving Most Systems of Random Quadratic Equations
Gang Wang · Georgios Giannakis · Yousef Saad · Jie Chen