activity
20212026
most citedActive operator inference for learning low-dimensional dynamical-system models from noisy data

2 citations · 4 across the 4 of their papers we have counts for

collaborators

7 papers

cs.GT2026

The (Marginal) Value of a Search Ad: An Online Causal Framework for Repeated Second-price Auctions

Yuxiao Wen, Zihao Hu, Yanjun Han +2

Existing auto-bidding algorithms in digital advertising often treat the value of an ad opportunity as the revenue obtained when an ad is shown and/or clicked, and bid accordingly.…

cs.LG2025

Optimal Arm Elimination Algorithms for Combinatorial Bandits

Yuxiao Wen, Yanjun Han, Zhengyuan Zhou

Combinatorial bandits extend the classical bandit framework to settings where the learner selects multiple arms in each round, motivated by applications such as online recommendati…

cs.HC20251 cited

ClassMind: Scaling Classroom Observation and Instructional Feedback with Multimodal AI

Ao Qu, Yuxi Wen, Jiayi Zhang +6

Classroom observation -- one of the most effective methods for teacher development -- remains limited due to high costs and a shortage of expert coaches. We present ClassMind, an A…

cs.LG20251 cited

Calibrated Recommendations with Contextual Bandits

Diego Feijer, Himan Abdollahpouri, Sanket Gupta +7

Spotify's Home page features a variety of content types, including music, podcasts, and audiobooks. However, historical data is heavily skewed toward music, making it challenging t…

cs.LG2025

Adversarial Combinatorial Semi-bandits with Graph Feedback

Yuxiao Wen

In combinatorial semi-bandits, a learner repeatedly selects from a combinatorial decision set of arms, receives the realized sum of rewards, and observes the rewards of the individ…

cs.LG2025

Joint Value Estimation and Bidding in Repeated First-Price Auctions

Yuxiao Wen, Yanjun Han, Zhengyuan Zhou

We study regret minimization in repeated first-price auctions (FPAs), where a bidder observes only the realized outcome after each auction -- win or loss. This setup reflects pract…