Faster Maximum Inner Product Search in High Dimensions
Maximum Inner Product Search (MIPS) is a ubiquitous task in machine learning applications
such as recommendation systems. Given a query vector and $ n $ atom vectors in $ d …
such as recommendation systems. Given a query vector and $ n $ atom vectors in $ d …
Implicit Two-Tower Policies
We present a new class of structured reinforcement learning policy-architectures, Implicit
Two-Tower (ITT) policies, where the actions are chosen based on the attention scores of …
Two-Tower (ITT) policies, where the actions are chosen based on the attention scores of …
[图书][B] Integrating Machine Learning and Optimization for Problems in Contextual Decision-Making and Dynamic Learning
Y Zhao - 2023 - search.proquest.com
In this thesis, we study the intersection of optimization and machine learning, especially how
to use machine learning and optimization tools to make decisions. In Chapter 1, we propose …
to use machine learning and optimization tools to make decisions. In Chapter 1, we propose …