works on

From the 2 of 21 linked papers with an AI index.

activity
20242026
collaborators

21 papers

cs.LG2026

Online Convex Optimization with Dueling Feedback

Yiyang Lu, Hareshkumar Jadav, Mohammad Pedramfar +2

We study online convex optimization with dueling (pairwise comparison) feedback, where the learner observes only a binary preference between two queried points. While dueling feedb…

math.AP2026

Sharp instability of planar isotropic--nematic interfaces in the Landau--de Gennes model

Wei Wang, Qin Wu

We study the stability of one-dimensional planar isotropic--nematic interfaces in the Landau--de Gennes model with anisotropic elastic constant . Earlier work proved the instabi…

cs.LG2026

Parameter-Free Dynamic Regret for Online Convex Optimization under Heavy-Tailed Noise

Vaneet Aggarwal

The paper introduces HT-PAder, a parameter‑free algorithm for online convex optimization that handles heavy‑tailed noise and achieves universal dynamic regret without prior knowled…

stat.ML2026

Non-Expansive Two-Time-Scale Stochastic Approximation: A Fixed-Schedule One-Quarter Barrier and Bias-Corrected Acceleration

Dhruv Sarkar, Vaneet Aggarwal

The paper analyzes two‑time‑scale stochastic approximation with a non‑expansive slow map, establishes sharp lower bounds on residual decay, and proposes bias‑corrected and single‑l…

cs.LG2026

Upper-Linearizability of Online Non-Monotone DR-Submodular Maximization over Down-Closed Convex Sets

Yiyang Lu, Haresh Jadav, Mohammad Pedramfar +2

We study online maximization of non-monotone Diminishing-Return(DR)-submodular functions over down-closed convex sets, a regime where existing projection-free online methods suffer…

cs.AI2026

Distributionally Robust Listwise Preference Optimization

Xudong Wu, Jian Qian, Pangpang Liu +2

Existing robust preference optimization for language-model alignment mainly studies pairwise supervision and places robustness at the dataset, prompt, or preference-pair level. We…