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Poster
Thu 7:30
On Information Gain and Regret Bounds in Gaussian Process Bandits
Sattar Vakili · Kia Khezeli · Victor Picheny
Poster
Wed 12:45
Feedback Coding for Active Learning
Gregory Canal · Matthieu Bloch · Christopher Rozell
Poster
Wed 6:00
Nearest Neighbour Based Estimates of Gradients: Sharp Nonasymptotic Bounds and Applications
Guillaume Ausset · Stephan Clémençon · François Portier
Poster
Tue 18:30
Diagnostic Uncertainty Calibration: Towards Reliable Machine Predictions in Medical Domain
Takahiro Mimori · Keiko Sasada · Hirotaka Matsui · Issei Sato
Poster
Thu 7:30
Reinforcement Learning for Constrained Markov Decision Processes
Ather Gattami · Qinbo Bai · Vaneet Aggarwal
Poster
Tue 14:00
Differentiable Greedy Algorithm for Monotone Submodular Maximization: Guarantees, Gradient Estimators, and Applications
Shinsaku Sakaue
Poster
Tue 14:00
Online Robust Control of Nonlinear Systems with Large Uncertainty
Dimitar Ho · Hoang Le · John Doyle · Yisong Yue
Poster
Wed 6:00
Dirichlet Pruning for Convolutional Neural Networks
Kamil Adamczewski · Mijung Park
Poster
Wed 12:45
Regret-Optimal Filtering
Oron Sabag · Babak Hassibi
Poster
Wed 6:00
Aggregating Incomplete and Noisy Rankings
Dimitris Fotakis · Alkis Kalavasis · Konstantinos Stavropoulos
Oral
Thu 13:00
Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders
Andrew Bennett · Nathan Kallus · Lihong Li · Ali Mousavi
Poster
Wed 12:45
Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders
Andrew Bennett · Nathan Kallus · Lihong Li · Ali Mousavi
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