<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Statistics |</title><link>https://nick-jhlee.github.io/tags/statistics/</link><atom:link href="https://nick-jhlee.github.io/tags/statistics/index.xml" rel="self" type="application/rss+xml"/><description>Statistics</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Mon, 25 May 2026 00:00:00 +0000</lastBuildDate><image><url>https://nick-jhlee.github.io/media/icon_hu_eee4a95885829ab2.png</url><title>Statistics</title><link>https://nick-jhlee.github.io/tags/statistics/</link></image><item><title>Instance-Optimal Estimation with Multiple LLM Judges on a Budget</title><link>https://nick-jhlee.github.io/publications/arxiv26-adaptive-llm-judge/</link><pubDate>Mon, 25 May 2026 00:00:00 +0000</pubDate><guid>https://nick-jhlee.github.io/publications/arxiv26-adaptive-llm-judge/</guid><description/></item><item><title>Cumulative Distribution Regret Minimization with Max- Quantile Threshold in Multi-Armed Bandit</title><link>https://nick-jhlee.github.io/publications/kcc26/</link><pubDate>Fri, 22 May 2026 00:00:00 +0000</pubDate><guid>https://nick-jhlee.github.io/publications/kcc26/</guid><description/></item><item><title>Looking Through the Mirror: Minimax-Optimal Regularized Regrets in Online Learning and Bandits</title><link>https://nick-jhlee.github.io/publications/arxiv26-regularized-regret/</link><pubDate>Thu, 21 May 2026 00:00:00 +0000</pubDate><guid>https://nick-jhlee.github.io/publications/arxiv26-regularized-regret/</guid><description/></item><item><title>GL-LowPopArt: A Nearly Instance-Wise Minimax-Optimal Estimator for Generalized Low-Rank Trace Regression</title><link>https://nick-jhlee.github.io/publications/aistats26-gl-lowpopart/</link><pubDate>Sat, 02 May 2026 00:00:00 +0000</pubDate><guid>https://nick-jhlee.github.io/publications/aistats26-gl-lowpopart/</guid><description/></item><item><title>Near-Optimal Clustering in Mixture of Markov Chains</title><link>https://nick-jhlee.github.io/publications/aistats26-mixture-markov/</link><pubDate>Sat, 02 May 2026 00:00:00 +0000</pubDate><guid>https://nick-jhlee.github.io/publications/aistats26-mixture-markov/</guid><description/></item><item><title>TESSAR: Geometry-Aware Active Regression via Dynamic Voronoi Tessellation</title><link>https://nick-jhlee.github.io/publications/iclr26/</link><pubDate>Thu, 23 Apr 2026 00:00:00 +0000</pubDate><guid>https://nick-jhlee.github.io/publications/iclr26/</guid><description/></item><item><title>Provably Efficient Regularized Online RLHF with Generalized Bilinear Preferences</title><link>https://nick-jhlee.github.io/publications/arxiv26-bilinear-nash/</link><pubDate>Sun, 22 Feb 2026 00:00:00 +0000</pubDate><guid>https://nick-jhlee.github.io/publications/arxiv26-bilinear-nash/</guid><description/></item><item><title>A Jointly Efficient and Optimal Algorithm for Heteroskedastic Generalized Linear Bandits with Adversarial Corruptions</title><link>https://nick-jhlee.github.io/publications/arxiv26-corrupted-glm/</link><pubDate>Thu, 12 Feb 2026 00:00:00 +0000</pubDate><guid>https://nick-jhlee.github.io/publications/arxiv26-corrupted-glm/</guid><description/></item><item><title>A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits</title><link>https://nick-jhlee.github.io/publications/neurips24/</link><pubDate>Wed, 19 Jun 2024 00:00:00 +0000</pubDate><guid>https://nick-jhlee.github.io/publications/neurips24/</guid><description/></item><item><title>Querying Easily Flip-flopped Samples for Deep Active Learning</title><link>https://nick-jhlee.github.io/publications/iclr24/</link><pubDate>Tue, 07 May 2024 00:00:00 +0000</pubDate><guid>https://nick-jhlee.github.io/publications/iclr24/</guid><description>&lt;p&gt;(To be filled out)&lt;/p&gt;</description></item><item><title>Improved Regret Bounds of (Multinomial) Logistic Bandits via Regret-to-Confidence-Set Conversion</title><link>https://nick-jhlee.github.io/publications/aistats24/</link><pubDate>Sat, 20 Jan 2024 00:00:00 +0000</pubDate><guid>https://nick-jhlee.github.io/publications/aistats24/</guid><description/></item><item><title>Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint</title><link>https://nick-jhlee.github.io/publications/neurips23/</link><pubDate>Sun, 10 Dec 2023 00:00:00 +0000</pubDate><guid>https://nick-jhlee.github.io/publications/neurips23/</guid><description>&lt;p&gt;(To be filled out)&lt;/p&gt;</description></item><item><title>Nearly Optimal Latent State Decoding in Block MDPs</title><link>https://nick-jhlee.github.io/publications/aistats23/</link><pubDate>Thu, 27 Apr 2023 00:00:00 +0000</pubDate><guid>https://nick-jhlee.github.io/publications/aistats23/</guid><description>&lt;p&gt;(To be filled out)&lt;/p&gt;</description></item><item><title>Fast and Efficient MMD-based Fair PCA via Optimization over Stiefel Manifold</title><link>https://nick-jhlee.github.io/publications/aaai22/</link><pubDate>Tue, 22 Feb 2022 00:00:00 +0000</pubDate><guid>https://nick-jhlee.github.io/publications/aaai22/</guid><description>&lt;p&gt;(To be filled out)&lt;/p&gt;</description></item></channel></rss>