Tatikonda, Sekhar

9 publications

ICLR 2022 Surrogate Gap Minimization Improves Sharpness-Aware Training Juntang Zhuang, Boqing Gong, Liangzhe Yuan, Yin Cui, Hartwig Adam, Nicha C Dvornek, Sekhar Tatikonda, James s Duncan, Ting Liu

ICLR 2021 MALI: A Memory Efficient and Reverse Accurate Integrator for Neural ODEs Juntang Zhuang, Nicha C Dvornek, Sekhar Tatikonda, James s Duncan

NeurIPSW 2020 AdaBelief Optimizer: Adapting Stepsizes by theBelief in Observed Gradients Juntang Zhuang, Tommy Tang, Sekhar Tatikonda, Nicha C Dvornek, Yifan Ding, Xenophon Papademetris, James s Duncan

ICML 2020 Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE Juntang Zhuang, Nicha Dvornek, Xiaoxiao Li, Sekhar Tatikonda, Xenophon Papademetris, James Duncan

JMLR 2019 A New Approach to Laplacian Solvers and Flow Problems Patrick Rebeschini, Sekhar Tatikonda

JMLR 2019 Learning Unfaithful $k$-Separable Gaussian Graphical Models De Wen Soh, Sekhar Tatikonda

JMLR 2013 Message-Passing Algorithms for Quadratic Minimization Nicholas Ruozzi, Sekhar Tatikonda

UAI 2010 Convergent and Correct Message Passing Schemes for Optimization Problems over Graphical Models Nicholas Ruozzi, Sekhar Tatikonda

UAI 2002 Loopy Belief Propogation and Gibbs Measures Sekhar Tatikonda, Michael I. Jordan