Hong Et Al. 2004

[Faustina Bartsch]

June. 2024 new preprint (with Andi, Jiaxiang, Wei, Akiko, Pratik and Bamdev) entitled SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining has been submitted for publication; see the preprint [here]; This work shows that, by using sparse+low rank techniques, retraining can be made very memory efficient.

June. 2024 new preprint (with Zhiwei, Jon, T-Hui) entitled Tuning-Free Alignment of Diffusion Models with Direct Noise Optimization has been submitted for publication; see the preprint [here]; This work develop a novel direct noise optimization method that can efficiently assign the output of diffusion models.

June. 2024 new preprint (with Jiaxiang, Siliang, Hoi-To, Chenliang, and Alfredo) entitled Getting More Juice Out of the SFT Data: Reward Learning from Human Demonstration Improves SFT for LLM Alignment has been submitted for publication; see the preprint [here]; This work shows that, by building a reward model for SFT stage, one can significantly improve the SFT performance.

May 2024, NSF sponsored workshop, Midwest Machine Learning Symposium held at Minneapolis, organized by M. and Ju Sun ant others; See [Symposium Website]; The symposium is free for all participants and provide lodgings; It attracted 300+ participants from all over midwest region.

Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark, with Yihua Zhang, Pingzhi Li, Junyuan Hong, Jiaxiang Li, Yimeng Zhang, Wenqing Zheng, Pin-Yu Chen, Jason D Lee, Wotao Yin, Zhangyang Wang, Sijia Liu, Tianlong Chen; see the paper here [here]

Dec. 2023 new preprint (with Xinwei, Steven and Woody) entitled Differentially Private SGD Without Clipping Bias: An Error-Feedback Approach has been submitted for publication; see the preprint here; This work shows that, by using error feedback, the bias of clipping gradient can be completely removed, while being able to use arbitrary clipping threshold (independent of the problem). These properties makes it practical to use the algorithm in practice (as compared with DP-SGD).

Nov 2023, Xinwei has successfully defended his PhD thesis; Xinwei has made some exciting achievements during his PhD career, and he will be joining USC for a postdoctoral fellowship; see his [publications]; Congrats Dr. Zhang!

Understanding Expertise through Demonstrations: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning (joint work with Siliang, Chenliang and Alfredo) has been accepted as an Oral paper; see the paper here [here]

April. 2023, paper accepted (SIOPT): our work Minimax problems with coupled linear constraints: computational complexity, duality and solution methods (joint work with Ioannis and Shuzhong) has been accepted by SIAM Journal on Optimization.In this work, we analyzed a class of seemingly easy min-max problems, where there is a linear constraint coupling the min and max optimization variables. We show that this class of problem is NP-hard, and then derived a duality theory for it. Leveraging the resulting duality-based relaxations, we propose a family of efficient algorithms, and test them on the network interdiction problems. see the paper [here]

Jan. 2023 new preprint (with Siliang, Chenliang and Alfredo) entitled Understanding Expertise through Demonstrations: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning has been submitted for publication; see the preprint here; This work develops one of the first offline inverse reinforcement learning (IRL) formulation and algorithm for inferring an agent's reward function, while finding its policy.

Thus began his passion as a restaurateur! His skills, knowledge and expertise can be found everyday as he creates a unique dining experience with healthy natural ingredients at Anh Hong Vietnamese Restaurant.

Please join Anh and the staff of Anh Hong and discover this culinary delight with an extensive menu of over 200 dishes, including creative Vegan dishes. Come taste the best Vietnamese food in Orlando, FL!

Anh hong was awarded the "Best of Yelp 2017, 2018 & 2019 consecutively for best Vietnamese and best vegetarian in Orlando ! Here are some of the nice things our foodie fans have said. "One of my favorite Vietnamese restaurant of all of Orlando, Everything here is...

Anh Hong was voted #1 for top Vietnamese Cuisine in Orlando. Here is what some of our fans had to say.. "Anh Hong has an extensive menu of authentic Vietnamese fare. They put out delicious dishes at inexpensive prices, and their friendly service ensures a pleasant...

Anh hong was awarded the annual foodie award for the 8th year in a row. Here is what Scott Joseph with the Orlando Sentinel had to say.. "They have outstanding bun dishes, as well as pho," and if you don't know what that means, you'll appreciate that Anh Hong is "a...

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