Largescale instances of SDPs, thus, present a memory bottleneck. In this paper, we develop simple polynomial-time Gaussian sampling-based algorithms for these twoproblems thatuseO(n+|E|)memory andnearly achievethebestexisting approximation guarantees.

ASIN (id): ASIN stands for Amazon Standard Identification Number. Title: The Title attribute represents the name or title given to a product, book, or creative work. Size: Size indicates the dimensions or physical size of the product. Model: The Model attribute refers to a specific model or version of a product. It provides information about the product's primary material, such as metal, plastic, Color Text: Color Text describes the color or color variation of the product.

To bridge this gap, we present the Amazon Multilingual Multi-locale Shopping Session Dataset, namely Amazon-M2 .

Gaussiankernel Theupdatein Eq. (12) becomes

For FC-individual, we train each testing assay separately with a two-layer fully-connected base learner. For FC-All, a two-layer fully connected model is trained on samples from both support setandquery setofsource assays andfrom thesupport setofthetargetassay. C.1 DrugActivityPredictionData For drug activity prediction, here we summarized the number of assays belonging to each target family: GPCR (685), Ion channel (215), Kinase (665), NHR (123), Binding (2523), Phenotypic (2299), Functional (1689), Proteinase (289),ADME (55).

Safe reinforcement learning (RL) studies problems where an intelligent agent has to not only maximize reward but also avoid exploring unsafe areas.