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You can do RLAs for IRV

2020-04-01 · Michelle Blom, Andrew Conway, Dan King, Laurent Sandrolini, Philip B. Stark, Peter J. Stuckey, Vanessa Teague

The City and County of San Francisco, CA, has used Instant Runoff Voting (IRV) for some elections since 2004. This report describes the first ever process pilot of Risk Limiting Audits for IRV, for the San Francisco District Attorney's race in November, 2019. We found that the vote-by-mail outcome could be efficiently audited to well under the 0.05 risk limit given a sample of only 200 ballots. All the software we developed for the pilot is open source.

📄 PDF Abstract BibTeX arXiv:2004.00235

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The Reciprocal Bayesian LASSO

2020-01-23 · Himel Mallick, Rahim Alhamzawi, Erina Paul, Vladimir Svetnik

A reciprocal LASSO (rLASSO) regularization employs a decreasing penalty function as opposed to conventional penalization approaches that use increasing penalties on the coefficients, leading to stronger parsimony and sup…

Bayesian Inference Model Selection regression Variable Selection

IRLAS: Inverse Reinforcement Learning for Architecture Search

2018-12-13 · CVPR 2019 6 · Minghao Guo, Zhao Zhong, Wei Wu, Dahua Lin 외

In this paper, we propose an inverse reinforcement learning method for architecture search (IRLAS), which trains an agent to learn to search network structures that are topologically inspired by human-designed network. M…

Neural Architecture Search reinforcement-learning Reinforcement Learning Reinforcement Learning (RL)

Adversarial Reinforcement Learning for Large Language Model Agent Safety

2025-10-06 · Zizhao Wang, Dingcheng Li, Vaishakh Keshava, Phillip Wallis 외 arxiv

Large Language Model (LLM) agents can leverage tools such as Google Search to complete complex tasks. However, this tool usage introduces the risk of indirect prompt injections, where malicious instructions hidden in too…

Reinforcement Learning

How Real is CARLAs Dynamic Vision Sensor? A Study on the Sim-to-Real Gap in Traffic Object Detection

2025-06-16 · Kaiyuan Tan, Pavan Kumar B N, Bharatesh Chakravarthi

Event cameras are gaining traction in traffic monitoring applications due to their low latency, high temporal resolution, and energy efficiency, which makes them well-suited for real-time object detection at traffic inte…

Domain Adaptation object-detection Object Detection Real-Time Object Detection+1

Private Everlasting Prediction

2023-05-16 · NeurIPS 2023 11

A private learner is trained on a sample of labeled points and generates a hypothesis that can be used for predicting the labels of newly sampled points while protecting the privacy of the training set [Kasiviswannathan …

Prediction