Paul Grigas

4 papers · 2019–2025 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11)

Venues

NeurIPS (2) AISTATS (1) ICML (1)

Top co-authors

Zheng Wen (1) Othman El Balghiti (1) Qiran Dong (1) Heyuan Liu (1) Vishal Gupta (1) Alfonso Lobos (1) Adam N. Elmachtoub (1) Ambuj Tewari (1)

Research topics

Machine Learning (4) Optimization & Theory · Machine Learning (4) Mathematics & Optimization (3) Learning Types (3) Optimization (3) Artificial Intelligence (1) Deep Learning (1) Core AI (1) Optimization & Theory · Deep Learning (1)

Keywords

stochastic optimization (1) learning theory (1) stochastic gradient descent (1) online learning (1) convex optimization (1) constraint satisfaction (1) linear convergence (1) generalization bound (1) regret bound (1) risk bound (1) revenue maximization (1) constraint violation (1) context vector (1) convex surrogate (1) dual mirror descent (1) uniform error bound (1) spo loss (1) smart predict-then-optimize (1) basis function approximation (1) decision error (1)

Papers

Beyond Discretization: Learning the Optimal Solution Path AISTATS 2025 Joint Online Learning and Decision-making via Dual Mirror Descent ICML 2021 Risk Bounds and Calibration for a Smart Predict-then-Optimize Method NeurIPS 2021 Generalization Bounds in the Predict-then-Optimize Framework NeurIPS 2019