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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
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