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Poster
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Thu 9:00
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Detecting Abrupt Changes in Sequential Pairwise Comparison Data
Wanshan Li · Alessandro Rinaldo · Daren Wang
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Workshop
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Scaling Marginalized Importance Sampling to High-Dimensional State-Spaces via State Abstraction
Brahma Pavse · Josiah Hanna
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Workshop
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Scaling Covariance Matrix Adaptation MAP-Annealing to High-Dimensional Controllers
Bryon Tjanaka · Matthew Fontaine · Aniruddha Kalkar · Stefanos Nikolaidis
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Poster
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Wed 9:00
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Interpolation and Regularization for Causal Learning
Leena Chennuru Vankadara · Luca Rendsburg · Ulrike Luxburg · Debarghya Ghoshdastidar
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Poster
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Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization
Lei Song · Ke Xue · Xiaobin Huang · Chao Qian
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Poster
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Thu 9:00
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Bezier Gaussian Processes for Tall and Wide Data
Martin Jørgensen · Michael A Osborne
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Poster
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Tue 9:00
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Batch Multi-Fidelity Active Learning with Budget Constraints
Shibo Li · Jeff M Phillips · Xin Yu · Robert Kirby · Shandian Zhe
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Poster
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Thu 14:00
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Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces
Leonard Papenmeier · Luigi Nardi · Matthias Poloczek
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Panel
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Tue 17:00
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Panel 2C-1: High-dimensional limit theorems… & Efficient Sampling on…
Xiang Cheng · Reza Gheissari
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Poster
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Tue 14:00
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Robust Testing in High-Dimensional Sparse Models
Anand Jerry George · Clément L Canonne
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Poster
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Thu 9:00
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Acceleration in Distributed Sparse Regression
Marie Maros · Gesualdo Scutari
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Poster
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Tue 14:00
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List-Decodable Sparse Mean Estimation via Difference-of-Pairs Filtering
Ilias Diakonikolas · Daniel Kane · Sushrut Karmalkar · Ankit Pensia · Thanasis Pittas
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