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Poster
Wed 6:00 On Multilevel Monte Carlo Unbiased Gradient Estimation for Deep Latent Variable Models
Yuyang Shi · Rob Cornish
Poster
Wed 12:45 Quick Streaming Algorithms for Maximization of Monotone Submodular Functions in Linear Time
Alan Kuhnle
Poster
Thu 7:30 Reinforcement Learning for Constrained Markov Decision Processes
Ather Gattami · Qinbo Bai · Vaneet Aggarwal
Poster
Wed 6:00 On the proliferation of support vectors in high dimensions
Daniel Hsu · Vidya Muthukumar · Ji Xu
Poster
Wed 6:00 An Analysis of the Adaptation Speed of Causal Models
Remi Le Priol · Reza Babanezhad · Yoshua Bengio · Simon Lacoste-Julien
Poster
Tue 14:00 Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC
Priyank Jaini · Didrik Nielsen · Max Welling
Poster
Wed 12:45 Feedback Coding for Active Learning
Gregory Canal · Matthieu Bloch · Christopher Rozell
Poster
Tue 14:00 Distributionally Robust Optimization for Deep Kernel Multiple Instance Learning
Hitesh Sapkota · Yiming Ying · Feng Chen · Qi Yu
Poster
Tue 18:30 Causal Modeling with Stochastic Confounders
Thanh Vinh Vo · Pengfei Wei · Wicher Bergsma · Tze Yun Leong
Poster
Wed 6:00 Learning Fair Scoring Functions: Bipartite Ranking under ROC-based Fairness Constraints
Robin Vogel · Aurélien Bellet · Stephan Clémençon
Poster
Wed 6:00 Free-rider Attacks on Model Aggregation in Federated Learning
Yann Fraboni · Richard Vidal · Marco Lorenzi
Poster
Wed 6:00 Dirichlet Pruning for Convolutional Neural Networks
Kamil Adamczewski · Mijung Park