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Workshop
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Generative Pretraining for Black-Box Optimization
Siddarth Krishnamoorthy · Satvik Mashkaria · Aditya Grover
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Workshop
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Sat 11:15
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Generative Pretraining for Black-Box Optimization
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Poster
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TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning
Konstantin Sozykin · Andrei Chertkov · Roman Schutski · Anh-Huy Phan · Andrzej S CICHOCKI · Ivan Oseledets
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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 14:00
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Black-box coreset variational inference
Dionysis Manousakas · Hippolyt Ritter · Theofanis Karaletsos
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Affinity Workshop
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Explaining black-box models in natural language through fuzzy linguistic summaries - Bipolar Disorder case study
Olga Kaminska · Katarzyna Kaczmarek-Majer
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Workshop
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Meta-learning of Black-box Solvers Using Deep Reinforcement Learning
Cedric Malherbe · Aladin Virmaux · Ludovic Dos Santos · Sofian Chaybouti
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Workshop
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Measuring Robustness with Black-Box Adversarial Attack using Reinforcement Learning
Soumyendu Sarkar · Sajad Mousavi · Ashwin Ramesh Babu · Vineet Gundecha · Sahand Ghorbanpour · Alexander Shmakov
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Workshop
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Meta-Learning General-Purpose Learning Algorithms with Transformers
Louis Kirsch · Luke Metz · James Harrison · Jascha Sohl-Dickstein
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Affinity Workshop
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Shapelet Guided Counterfactual Explanation Generation for Black-Box Time Series Classifiers
Tina Han · Jette Henderson
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Poster
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Tue 9:00
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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
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Workshop
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Runtime Monitors for Operational Design Domains of Black-Box ML-Models
Hazem Torfah · Sanjit A. Seshia
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