Moritz Diehl

3 papers · 2020–2021 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🚀 Conference Pioneer

Venues

AISTATS (1) ICLR (1) L4DC (1)

Top co-authors

Jia-Jie Zhu (2) Wittawat Jitkrittum (1) Andrea Zanelli (1) Bernhard Schölkopf (1) Quoc Tran Dinh (1) Matilde Gargiani (1) Bernhard Schoelkopf (1) Frank Hutter (1)

Research topics

Mathematics & Optimization (3) Optimization (3) Machine Learning (2) Deep Learning (1) Bayesian & Probabilistic (1) Learning Types (1) Optimization & Theory · Machine Learning (1) Optimization & Theory · Deep Learning (1)

Keywords

stochastic optimization (1) stochastic gradient descent (1) non-convex optimization (1) transfer learning (1) convex optimization (1) reproducing kernel hilbert space (1) stochastic approximation (1) kernel mean embedding (1) distributionally robust optimization (1) homotopy method (1) distributional distance regularization (1) sample-based optimization (1) reduced-set expansion (1) continuation method (1)

Papers

Kernel Distributionally Robust Optimization: Generalized Duality Theorem and Stochastic Approximation AISTATS 2021 A Kernel Mean Embedding Approach to Reducing Conservativeness in Stochastic Programming and Control L4DC 2020 Transferring Optimality Across Data Distributions via Homotopy Methods ICLR 2020