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Poster
Tue 14:00 Designing Transportable Experiments Under S-admissability
My Phan · David Arbour · Drew Dimmery · Anup Rao
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 Beyond Perturbation Stability: LP Recovery Guarantees for MAP Inference on Noisy Stable Instances
Hunter Lang · Aravind Reddy Talla · David Sontag · Aravindan Vijayaraghavan
Poster
Tue 18:30 On Projection Robust Optimal Transport: Sample Complexity and Model Misspecification
Tianyi Lin · Zeyu Zheng · Elynn Chen · Marco Cuturi · Michael Jordan
Poster
Tue 18:30 γ-ABC: Outlier-Robust Approximate Bayesian Computation Based on a Robust Divergence Estimator
Masahiro Fujisawa · Takeshi Teshima · Issei Sato · Masashi Sugiyama
Poster
Wed 6:00 An Analysis of the Adaptation Speed of Causal Models
Remi Le Priol · Reza Babanezhad · Yoshua Bengio · Simon Lacoste-Julien
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 Dirichlet Pruning for Convolutional Neural Networks
Kamil Adamczewski · Mijung Park
Poster
Wed 6:00 Free-rider Attacks on Model Aggregation in Federated Learning
Yann Fraboni · Richard Vidal · Marco Lorenzi
Poster
Wed 6:00 On the proliferation of support vectors in high dimensions
Daniel Hsu · Vidya Muthukumar · Ji Xu
Poster
Wed 6:00 On Multilevel Monte Carlo Unbiased Gradient Estimation for Deep Latent Variable Models
Yuyang Shi · Rob Cornish
Poster
Wed 6:00 Self-Supervised Steering Angle Prediction for Vehicle Control Using Visual Odometry
Qadeer Khan · Patrick Wenzel · Daniel Cremers