tor-lattimore.com的 10 大竞争对手

lilianweng.github.io

The goal of contrastive representation learning is to learn such an embedding space in which similar sample pairs stay close to each other while dissimilar ones are far apart. Contrastive learning can be applied to both supervised and unsupervised settings. When working with unsupervised data, contrastive learning is one of the most powerful approaches in self-supervised learning.

banditalgs.com

In the last two posts we considered stochastic linear bandits, when the actions are vectors in the $d$-dimensional Euclidean space. According to our previous calculations, under the condition that …

ambujtewari.com

An advanced graduate level course on transformers and LLMs at the University of Michigan

iterate.ai

Your Private AI Assistant: Automate Tasks, Drive Decisions, & Accelerate Growth

simons.berkeley.edu

The Simons Institute for the Theory of Computing is the world's leading center for collaborative research in theoretical computer science and related fields. The Institute is housed in Calvin Lab, a dedicated building on the UC Berkeley campus, and provides a vibrant and welcoming environment for visiting researchers. In each academic semester, the activities of the Institute are largely focused on specific research programs, each of which attracts around sixty long-term participants ranging from senior scientists to graduate students.

arxiv.org

A system of non-tradable credits that flow between individuals like karma, hence proposed under that name, is a mechanism for repeated resource allocation that comes with attractive efficiency and fairness properties, in theory. In this study, we test karma in an online experiment in which human subjects repeatedly compete for a resource with time-varying and stochastic individual preferences or urgency to acquire the resource. We confirm that karma has significant and sustained welfare benefits even in a population with no prior training. We identify mechanism usage in contexts with sporadic high urgency, more so than with frequent moderate urgency, and implemented as a simple (binary) karma bidding scheme as particularly effective for welfare improvements: relatively larger aggregate efficiency gains are realized that are (almost) Pareto superior. These findings provide guidance for further testing and for future implementation plans of such mechanisms in the real world.

openreview.net

Welcome to the OpenReview homepage for AJL 2026 Congreso

math.ucla.edu

feedback The Department is committed to fostering an inclusive environment in our classrooms, hallways, offices and all interactions among community members. We welcome suggestions and constructive feedback that supports the active process of achieving an environment where students, postdocs, faculty, staff and guests feel heard, seen and validated. No personal information is collected on this […]