348 citations · 1.2k across the 81 of their papers we have counts for
92 papers
OTAP: Structure-Aware Optimal Transport for Evaluating Planning and Execution in Agent Trajectories
Babak Barazandeh, Subhabrata Majumdar, George Michailidis
Large language model agents solve tasks by generating trajectories that interleave planning, tool calls, and intermediate results. Current evaluation metrics reduce such a trajecto…
Localized LoRA-MoE: Block-wise Low-Rank Experts With Adaptive Routing
Babak Barazandeh, Subhabrata Majumdar, Vinay Prithyani +1
Large Language Models (LLMs) and high-dimensional perception networks increasingly rely on parameter-efficient fine-tuning (PEFT) to adapt to diverse operational contexts. However,…
Stochastic Regret Guarantees for Online Zeroth- and First-Order Bilevel Optimization
Parvin Nazari, Bojian Hou, Davoud Ataee Tarzanagh +2
Online bilevel optimization (OBO) is a powerful framework for machine learning problems where both outer and inner objectives evolve over time, requiring dynamic updates. Current O…
Joint Learning of Panel VAR models with Low Rank and Sparse Structure
Yuchen Xu, George Michailidis
Panel vector auto-regressive (VAR) models are widely used to capture the dynamics of multivariate time series across different subpopulations, where each subpopulation shares a com…
A Functional Coefficients Network Autoregressive Model
Hang Yin, Abolfazl Safikhani, George Michailidis
The paper introduces a flexible model for the analysis of multivariate nonlinear time series data. The proposed Functional Coefficients Network Autoregressive (FCNAR) model conside…
Robust Estimation of Sparse, High Dimensional Time Series with Polynomial Tails
Sagnik Halder, George Michailidis
High dimensional Vector Autoregressions (VAR) have received a lot of interest recently due to novel applications in health, engineering, finance and the social sciences. Three issu…