In preparation

Multiscale Resolution in Computational Inversion with Wasserstein Distance Minimization, Y. Cheng, W. Hong, V.A.K., K.Ren

PDE-Based Analysis of Thompson Sampling, Q. Du, D. Lin, V.A.K.

Preprints

Lower Bound on the Block-Diagonal Relaxation of the Paley Graph Clique Number, Y. Wang, Y. Shen, V.A.K., 2024
(paper, poster, slides)

Weighted Fourier-Based Bounds for Wasserstein Distances and Their Implications in Computational Inversion, W. Hong, V.A.K., K. Ren, 2023
(paper, slides)

• an extended journal version of the conference paper below

MarkupMnA: Markup-Based Segmentation of M&A Agreements, S. Rao, P. Islam, R. Bollineni, S. Khosla, T. Fei, Q. Wu, K. Cho, V.A.K., 2023
(paper, code, data)

PDE-Based Analysis of the Symmetric Two-Armed Bernoulli Bandit, V.A.K, R.V. Kohn, 2022
(paper, video, slides)

Publications

Fourier-Based Bounds for Wasserstein Distances and Their Implications in Computational Inversion, W. Hong, V.A.K., K. Ren, 2023
(paper, poster)
NeurIPS 2023 Optimal Transport and Machine Learning Workshop

Revisiting Block-Diagonal SDP Relaxations for the Clique Number of the Paley Graphs, V.A.K, K. Mody, 2023
(paper, code)
SampTA 2023

New Potential-Based Bounds for Prediction with Expert Advice, V.A.K, R.V. Kohn, Z. Wang
(paper, video, slides, poster)
COLT 2020

New Potential-Based Bounds for the Geometric-Stopping Version of Prediction with Expert Advice, V.A.K, R.V. Kohn, Z. Wang
(paper, video, slides, poster, code)
MSML 2020

Hybrid-State Free Precession for Measuring Magnetic Resonance Relaxation Times in the Presence of B0 Inhomogeneities, V.A.K, C. Fernandez-Granda, J. Asslaender
(paper, slides, press)
ISMRM 2019

• Magna Cum Laude award
  

• Selected for oral presentation