Golinski, Adam

13 publications

ICML 2025 Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Yinong Oliver Wang, Nivedha Sivakumar, Falaah Arif Khan, Katherine Metcalf, Adam Golinski, Natalie Mackraz, Barry-John Theobald, Luca Zappella, Nicholas Apostoloff

NeurIPSW 2024 Efficient and Effective Uncertainty Quantification for LLMs Miao Xiong, Andrea Santilli, Michael Kirchhof, Adam Golinski, Sinead Williamson

NeurIPSW 2024 On a Spurious Interaction Between Uncertainty Scores and Answer Evaluation Metrics in Generative QA Tasks Andrea Santilli, Miao Xiong, Michael Kirchhof, Pau Rodriguez, Federico Danieli, Xavier Suau, Luca Zappella, Sinead Williamson, Adam Golinski

ICML 2023 The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning Borja Rodrı́guez Gálvez, Arno Blaas, Pau Rodriguez, Adam Golinski, Xavier Suau, Jason Ramapuram, Dan Busbridge, Luca Zappella

TMLR 2022 COIN++: Neural Compression Across Modalities Emilien Dupont, Hrushikesh Loya, Milad Alizadeh, Adam Golinski, Yee Whye Teh, Arnaud Doucet

UAI 2022 Expectation Programming: Adapting Probabilistic Programming Systems to Estimate Expectations Efficiently Tim Reichelt, Adam Goliński, Luke Ong, Tom Rainforth

ICML 2022 LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood Piotr Tempczyk, Rafał Michaluk, Lukasz Garncarek, Przemysław Spurek, Jacek Tabor, Adam Golinski

ICLRW 2021 COIN: COmpression with Implicit Neural Representations Emilien Dupont, Adam Golinski, Milad Alizadeh, Yee Whye Teh, Arnaud Doucet

ICLRW 2021 LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood Piotr Tempczyk, Adam Golinski, Przemysław Spurek, Jacek Tabor

ICLRW 2021 Lossless Compression Using Continuously-Indexed Normalizing Flows Adam Golinski, Anthony L. Caterini

JMLR 2020 Target–Aware Bayesian Inference: How to Beat Optimal Conventional Estimators Tom Rainforth, Adam Golinski, Frank Wood, Sheheryar Zaidi

ICML 2019 Amortized Monte Carlo Integration Adam Golinski, Frank Wood, Tom Rainforth

NeurIPS 2018 Faithful Inversion of Generative Models for Effective Amortized Inference Stefan Webb, Adam Golinski, Rob Zinkov, Siddharth N, Tom Rainforth, Yee Whye Teh, Frank Wood