<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Tim Tsz-Kit Lau | Kolar ML Lab</title><link>https://mkolar.coffeejunkies.org/authors/tim-tsz-kit-lau/</link><atom:link href="https://mkolar.coffeejunkies.org/authors/tim-tsz-kit-lau/index.xml" rel="self" type="application/rss+xml"/><description>Tim Tsz-Kit Lau</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><image><url>https://mkolar.coffeejunkies.org/media/authors/tim-tsz-kit-lau_hu_55f2c44fe37a7ea8.jpg</url><title>Tim Tsz-Kit Lau</title><link>https://mkolar.coffeejunkies.org/authors/tim-tsz-kit-lau/</link></image><item><title>AdAdaGrad: Adaptive Batch Size Schemes for Adaptive Gradient Methods</title><link>https://mkolar.coffeejunkies.org/publication/lau-2026-adadagrad/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://mkolar.coffeejunkies.org/publication/lau-2026-adadagrad/</guid><description/></item><item><title>Adaptive Batch Size Schedules for Distributed Training of Language Models with Data and Model Parallelism</title><link>https://mkolar.coffeejunkies.org/publication/lau-2025-adaptive/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://mkolar.coffeejunkies.org/publication/lau-2025-adaptive/</guid><description/></item><item><title>Communication-Efficient Adaptive Batch Size Strategies for Distributed Local Gradient Methods</title><link>https://mkolar.coffeejunkies.org/publication/lau-2024-communication/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://mkolar.coffeejunkies.org/publication/lau-2024-communication/</guid><description/></item></channel></rss>