136 citations · 360 across the 45 of their papers we have counts for
54 papers
General Revenue Adequacy Conditions for Energy Transport Networks
Sidhant Misra, Marc Vuffray, Anatoly Zlotnik +1
Optimization is widely used to determine the physical and financial exchange of wholesale electricity in organized markets. Guarantees of solution optimality and feasibility rest l…
Finite Sample Bounds for Learning with Score Matching
Devin Smedira, Abhijith Jayakumar, Sidhant Misra +2
Learning of continuous exponential family distributions with unbounded support remains an important area of research for both theory and applications in high-dimensional statistics…
Selecting Optimal Variable Order in Autoregressive Ising Models
Shiba Biswal, Marc Vuffray, Andrey Y. Lokhov
Autoregressive models enable tractable sampling from learned probability distributions, but their performance critically depends on the variable ordering used in the factorization…
Computationally sufficient statistics for Ising models
Abhijith Jayakumar, Shreya Shukla, Marc Vuffray +2
Learning Gibbs distributions using only sufficient statistics has long been recognized as a computationally hard problem. On the other hand, computationally efficient algorithms fo…
Symmetric Linear Dynamical Systems are Learnable from Few Observations
Minh Vu, Andrey Y. Lokhov, Marc Vuffray
We consider the problem of learning the parameters of a -dimensional stochastic linear dynamics under both full and partial observations from a single trajectory of time . We…
Autoregressive pairwise Graphical Models efficiently find ground state representations of stoquastic Hamiltonians
Yuchen Pang, Abhijith Jayakumar, Evan McKinney +3
We introduce Autoregressive Graphical Models (AGMs) as an Ansatz for modeling the ground states of stoquastic Hamiltonians. Exact learning of these models for smaller systems show…