Workshop

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

Fri 15:09

Bayesian State-Space SCM for Deforestation Baseline Estimation for Forest Carbon Credit
Keisuke Takahata · Hiroshi Suetsugu · Keiichi Fukaya · Shinichiro Shirota

Workshop

Scaling Marginalized Importance Sampling to High-Dimensional State-Spaces via State Abstraction
Brahma Pavse · Josiah Hanna

Workshop

Generalized Synthetic Control Method with State-Space Model
Junzhe Shao · Mingzhang Yin · Xiaoxuan Cai · Linda Valeri

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-Sébastien 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