Lifted Neural Networks. - Armin Askari; Geoffrey Négiar; Rajiv Sambharya; Laurent El Ghaoui (CoRR, 2018)

Linearly Convergent Frank-Wolfe without Line-Search. - Fabian Pedregosa; Geoffrey Négiar; Armin Askari; Martin Jaggi (AISTATS, 2020)

Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization. - Geoffrey Négiar; Gideon Dresdner; Alicia Y. Tsai; Laurent El Ghaoui; Francesco Locatello; Robert Freund; Fabian Pedregosa (ICML, 2020)

Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization. - Geoffrey Négiar; Gideon Dresdner; Alicia Y. Tsai; Laurent El Ghaoui; Francesco Locatello; Fabian Pedregosa (CoRR, 2020)

Learning differentiable solvers for systems with hard constraints. - Geoffrey Négiar; Michael W. Mahoney; Aditi S. Krishnapriyan (ICLR, 2023)

Probabilistic Forecasting with Coherent Aggregation. - Geoffrey Négiar; Ruijun Ma; O. Nganba Meetei; Mengfei Cao; Michael W. Mahoney (CoRR, 2023)

Constrained machine learning: algorithms and models - Geoffrey Négiar (2023)

♣ CLOVER ♣: Probabilistic Forecasting with Coherent Learning Objective Reparameterization. - Kin G. Olivares; Geoffrey Négiar; Ruijun Ma; Oinam Nganba Meetei; Mengfei Cao; Michael W. Mahoney (Trans. Mach. Learn. Res., 2024)