Workshop

Generative Pretraining for Black-Box Optimization
Siddarth Krishnamoorthy · Satvik Mashkaria · Aditya Grover

Workshop

Sat 11:15

Generative Pretraining for Black-Box Optimization

Poster

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

Poster

Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization
Lei Song · Ke Xue · Xiaobin Huang · Chao Qian

Workshop

Measuring Robustness with Black-Box Adversarial Attack using Reinforcement Learning
Soumyendu Sarkar · Sajad Mousavi · Ashwin Ramesh Babu · Vineet Gundecha · Sahand Ghorbanpour · Alexander Shmakov

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

Workshop

Meta-Learning General-Purpose Learning Algorithms with Transformers
Louis Kirsch · Luke Metz · James Harrison · Jascha Sohl-Dickstein

Poster

Thu 14:00

Black-box coreset variational inference
Dionysis Manousakas · Hippolyt Ritter · Theofanis Karaletsos

Workshop

Runtime Monitors for Operational Design Domains of Black-Box ML-Models
Hazem Torfah · Sanjit A. Seshia

Workshop

Meta-learning of Black-box Solvers Using Deep Reinforcement Learning
Cedric Malherbe · Aladin Virmaux · Ludovic Dos Santos · Sofian Chaybouti

Affinity Workshop

Shapelet Guided Counterfactual Explanation Generation for Black-Box Time Series Classifiers
Tina Han · Jette Henderson

Affinity Workshop

Explaining black-box models in natural language through fuzzy linguistic summaries - Bipolar Disorder case study
Olga Kaminska · Katarzyna Kaczmarek-Majer