Twin Support Vector Machine based Regression. - Reshma Khemchandani; Keshav Goyal; Suresh Chandra 001 (ICAPR, 2015)

TWSVR: Regression via Twin Support Vector Machine. - Reshma Khemchandani; Keshav Goyal; Suresh Chandra 001 (Neural Networks, 2016)

Generalized eigenvalue proximal support vector regressor for the simultaneous learning of a function and its derivatives. - Reshma Khemchandani; Keshav Goyal; Suresh Chandra 001 (Int. J. Mach. Learn. Cybern., 2018)

Robust Reoptimization of Steiner Trees. - Keshav Goyal; Tobias Mömke (Algorithmica, 2020)

Evaluation of the Gilbert-Varshamov Bound using Multivariate Analytic Combinatorics. - Keshav Goyal; Duc Tu Dao; Han Mao Kiah; Mladen Kovacevic 001 (ISIT, 2023)

Gilbert-Varshamov Bound for Codes in L1 Metric using Multivariate Analytic Combinatorics. - Keshav Goyal; Duc Tu Dao; Mladen Kovacevic 001; Han Mao Kiah (CoRR, 2024)

Auctioning Escape Permits for Multiple Correlated Pollutants Using CMRA. - Keshav Goyal; Sooraj Sathish; Shrisha Rao 001 (CoRR, 2024)

Evaluating the Gilbert-Varshamov Bound for Constrained Systems. - Keshav Goyal; Han Mao Kiah (Entropy, 2024)

Sequence reconstruction problem for deletion channels: A complete asymptotic solution. - Van Long Phuoc Pham; Keshav Goyal; Han Mao Kiah (J. Comb. Theory, Ser. A, 2025)

Gilbert-Varshamov Bound for Codes in L₁ Metric Using Multivariate Analytic Combinatorics. - Keshav Goyal; Duc Tu Dao; Mladen Kovacevic 001; Han Mao Kiah (IEEE Trans. Inf. Theory, 2025)