Poster

Thu 9:00

Instance-Based Uncertainty Estimation for Gradient-Boosted Regression Trees
Jonathan Brophy · Daniel Lowd

Poster

Wed 14:00

FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation
Mehmet Ozgur Turkoglu · Alexander Becker · Hüseyin Anil Gündüz · Mina Rezaei · Bernd Bischl · Rodrigo Caye Daudt · Stefano D'Aronco · Jan Wegner · Konrad Schindler

Poster

Thu 9:00

Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble Solution
Xueying Ding · Lingxiao Zhao · Leman Akoglu

Workshop

Q-Ensemble for Offline RL: Don't Scale the Ensemble, Scale the Batch Size
Alexander Nikulin · Vladislav Kurenkov · Denis Tarasov · Dmitry Akimov · Sergey Kolesnikov

Workshop

Uncertainty-Driven Pessimistic Q-Ensemble for Offline-to-Online Reinforcement Learning
Ingook Jang · Seonghyun Kim

Workshop

Heat Demand Forecasting with Multi-Resolutional Representation of Heterogeneous Temporal Ensemble
Satyaki Chatterjee · Adithya Ramachandran · Thorkil Flensmark Neergaard · Andreas Maier · Siming Bayer

Workshop

Sat 12:50

Taiga Abe: The Best Deep Ensembles Sacrifice Predictive Diversity

Workshop

Aggressive Q-Learning with Ensembles: Achieving Both High Sample Efficiency and High Asymptotic Performance
Yanqiu Wu · Xinyue Chen · Che Wang · Yiming Zhang · Keith Ross

Workshop

Ensemble based uncertainty estimation with overlapping alternative predictions
Dirk Eilers · Felippe Schmoeller Roza · Karsten Roscher

Workshop

Neural Architecture for Online Ensemble Continual Learning
Mateusz Wójcik · Witold Kościukiewicz · Adam Gonczarek · Tomasz Kajdanowicz

Workshop

The Best Deep Ensembles Sacrifice Predictive Diversity
Taiga Abe · Estefany Kelly Buchanan · Geoff Pleiss · John Cunningham

Workshop

Unleashing The Potential of Data Sharing in Ensemble Deep Reinforcement Learning
Zhixuan Lin · Pierluca D'Oro · Evgenii Nikishin · Aaron Courville

Results