3 papers
math.OC2026
On the Induced Norms of Matrices and Grothendieck problems
Lan V. Truong, M. H. Duong
We study the induced matrix norm $\|\bA\|_{q \to r}$, whose exact value has been known only in a few classical cases. Determining this norm has long been regarded as difficult due…
cs.LG2026
Transformers Learn Robust In-Context Regression under Distributional Uncertainty
Hoang T. H. Cao, Hai D. V. Trinh, Tho Quan +1
Recent work has shown that Transformers can perform in-context learning for linear regression under restrictive assumptions, including i.i.d. data, Gaussian noise, and Gaussian reg…
cs.LG2025
Optimal Best-Arm Identification under Fixed Confidence with Multiple Optima
Lan V. Truong
We study best-arm identification in stochastic multi-armed bandits under the fixed-confidence setting, focusing on instances with multiple optimal arms. Unlike prior work that addr…