Submitted


Online Komlos Converges to Mean Curvature Flow, N. Guillen, V.A.K., 2026
(paper)

Neural Collapse in the Orthoplex Regime, J. Alcala, R. Andreeva, V.A.K, D.G. Mixon, S. Na, S. Sule, Y. Xie, 2026
(paper)

Lower Bound on the Block-Diagonal Relaxation of the Paley Graph Clique Number, Y. Wang, Y. Shen, V.A.K., 2026
(paper, poster, slides)

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

In preparation


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)

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