Sharp Inequalities for $f$ -Divergences. - Adityanand Guntuboyina; Sujayam Saha; Geoffrey Schiebinger (IEEE Trans. Inf. Theory, 2014)

Superresolution without separation. - Geoffrey Schiebinger; Elina Robeva; Benjamin Recht (CAMSAP, 2015)

The Alternating Descent Conditional Gradient Method for Sparse Inverse Problems. - Nicholas Boyd; Geoffrey Schiebinger; Benjamin Recht (SIAM J. Optim., 2017)

Statistical Optimal Transport via Geodesic Hubs. - Aden Forrow; Jan-Christian Hütter; Mor Nitzan; Geoffrey Schiebinger; Philippe Rigollet; Jonathan Weed (CoRR, 2018)

Reconstructing probabilistic trees of cellular differentiation from single-cell RNA-seq data. - Miriam Shiffman; William T. Stephenson; Geoffrey Schiebinger; Jonathan H. Huggins; Trevor Campbell; Aviv Regev; Tamara Broderick (CoRR, 2018)

Statistical Optimal Transport via Factored Couplings. - Aden Forrow; Jan-Christian Hütter; Mor Nitzan; Philippe Rigollet; Geoffrey Schiebinger; Jonathan Weed (AISTATS, 2019)

Towards a mathematical theory of trajectory inference. - Hugo Lavenant; Stephen Zhang; Young-Heon Kim; Geoffrey Schiebinger (CoRR, 2021)

Optimal transport analysis reveals trajectories in steady-state systems. - Stephen Zhang; Anton Afanassiev; Laura Greenstreet; Tetsuya Matsumoto; Geoffrey Schiebinger (PLoS Comput. Biol., 2021)

Trajectory Inference via Mean-field Langevin in Path Space. - Lénaïc Chizat; Stephen Zhang; Matthieu Heitz; Geoffrey Schiebinger (NeurIPS, 2022)

Beyond kNN: Adaptive, Sparse Neighborhood Graphs via Optimal Transport. - Tetsuya Matsumoto; Stephen Zhang; Geoffrey Schiebinger (CoRR, 2022)

Manifold Learning with Sparse Regularised Optimal Transport. - Stephen Zhang; Gilles Mordant; Tetsuya Matsumoto; Geoffrey Schiebinger (CoRR, 2023)

Identifying Drift, Diffusion, and Causal Structure from Temporal Snapshots. - Vincent Guan; Joseph Janssen; Hossein Rahmani 005; Andrew Warren; Stephen Zhang; Elina Robeva; Geoffrey Schiebinger (CoRR, 2024)