Search All 2022 Events
 

14 Results

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Workshop
Fri 15:09 Bayesian State-Space SCM for Deforestation Baseline Estimation for Forest Carbon Credit
Keisuke Takahata · Hiroshi Suetsugu · Keiichi Fukaya · Shinichiro Shirota
Workshop
Short-term Prediction and Filtering of Solar Power Using State-Space Gaussian Processes
So Takao · Sean Nassimiha · Peter Dudfield · Jack Kelly · Marc Deisenroth
Poster
Tracking Functional Changes in Nonstationary Signals with Evolutionary Ensemble Bayesian Model for Robust Neural Decoding
Xinyun Zhu · Yu Qi · Gang Pan · Yueming Wang
Workshop
Bayesian State-Space SCM for Deforestation Baseline Estimation for Forest Carbon Credit
Keisuke Takahata · Hiroshi Suetsugu · Keiichi Fukaya · Shinichiro Shirota
Workshop
Generalized Synthetic Control Method with State-Space Model
Junzhe Shao · Mingzhang Yin · Xiaoxuan Cai · Linda Valeri
Workshop
Scaling Marginalized Importance Sampling to High-Dimensional State-Spaces via State Abstraction
Brahma Pavse · Josiah Hanna
Poster
Tue 9:00 Triangulation candidates for Bayesian optimization
Robert Gramacy · Annie Sauer · Nathan Wycoff
Affinity Workshop
A Domain-Oblivious Approach for Learning Concise Representations of Filtered Topological Spaces for Clustering
Yu Qin · Brittany Terese Fasy · Carola Wenk · Brian Summa
Poster
Thu 14:00 Reinforcement Learning in a Birth and Death Process: Breaking the Dependence on the State Space
Jonatha Anselmi · Bruno Gaujal · Louis-S├ębastien Rebuffi
Workshop
Diffusion Models for Graphs Benefit From Discrete State Spaces
Kilian Haefeli · Karolis Martinkus · Nathanael Perraudin · Roger Wattenhofer
Poster
Tue 9:00 Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces
Alexander Thebelt · Calvin Tsay · Robert Lee · Nathan Sudermann-Merx · David Walz · Behrang Shafei · Ruth Misener
Poster
Thu 9:00 Diagonal State Spaces are as Effective as Structured State Spaces
Ankit Gupta · Albert Gu · Jonathan Berant