Kusner, Matt

29 publications

ICLR 2025 An Auditing Test to Detect Behavioral Shift in Language Models Leo Richter, Xuanli He, Pasquale Minervini, Matt Kusner

ICML 2025 Calibrated Physics-Informed Uncertainty Quantification Vignesh Gopakumar, Ander Gray, Lorenzo Zanisi, Timothy Nunn, Daniel Giles, Matt Kusner, Stanislas Pamela, Marc Peter Deisenroth

TMLR 2025 Setting the Record Straight on Transformer Oversmoothing Gbetondji Jean-Sebastien Dovonon, Michael M. Bronstein, Matt Kusner

ICML 2025 When Can Proxies Improve the Sample Complexity of Preference Learning? Yuchen Zhu, Daniel Augusto De Souza, Zhengyan Shi, Mengyue Yang, Pasquale Minervini, Matt Kusner, Alexander D’Amour

ICMLW 2024 An Auditing Test to Detect Behavioral Shift in Language Models Leo Richter, Nitin Agrawal, Xuanli He, Pasquale Minervini, Matt Kusner

AISTATS 2024 Proxy Methods for Domain Adaptation Katherine Tsai, Stephen R Pfohl, Olawale Salaudeen, Nicole Chiou, Matt Kusner, Alexander D’Amour, Sanmi Koyejo, Arthur Gretton

ICLRW 2024 Setting the Record Straight on Transformer Oversmoothing Gbetondji Jean-Sebastien Dovonon, Michael M. Bronstein, Matt Kusner

ICMLW 2024 Setting the Record Straight on Transformer Oversmoothing Gbetondji Jean-Sebastien Dovonon, Michael M. Bronstein, Matt Kusner

ICLR 2023 DAG Learning on the Permutahedron Valentina Zantedeschi, Luca Franceschi, Jean Kaddour, Matt Kusner, Vlad Niculae

CLeaR 2023 Stochastic Causal Programming for Bounding Treatment Effects Kirtan Padh, Jakob Zeitler, David Watson, Matt Kusner, Ricardo Silva, Niki Kilbertus

ICLRW 2022 DAG Learning on the Permutahedron Valentina Zantedeschi, Jean Kaddour, Luca Franceschi, Matt Kusner, Vlad Niculae

ICMLW 2022 Evaluating Self-Supervised Learned Molecular Graphs Hanchen Wang, Shengchao Liu, Jean Kaddour, Qi Liu, Jian Tang, Matt Kusner, Joan Lasenby

ICMLW 2022 Evaluating Self-Supervised Learned Molecular Graphs Hanchen Wang, Shengchao Liu, Jean Kaddour, Qi Liu, Jian Tang, Matt Kusner, Joan Lasenby

NeurIPSW 2022 Partial Identification Without Distributional Assumptions Kirtan Padh, Jakob Zeitler, David Watson, Matt Kusner, Ricardo Silva, Niki Kilbertus

NeurIPSW 2021 Certified Predictions Using MPC-Friendly Publicly Verifiable Covertly Secure Commitments Nitin Agrawal, James Bell, Adrià Gascón, Matt Kusner

ICML 2021 Learning Binary Decision Trees by Argmin Differentiation Valentina Zantedeschi, Matt Kusner, Vlad Niculae

ICML 2021 Operationalizing Complex Causes: A Pragmatic View of Mediation Limor Gultchin, David Watson, Matt Kusner, Ricardo Silva

ICML 2021 Proximal Causal Learning with Kernels: Two-Stage Estimation and Moment Restriction Afsaneh Mastouri, Yuchen Zhu, Limor Gultchin, Anna Korba, Ricardo Silva, Matt Kusner, Arthur Gretton, Krikamol Muandet

AISTATS 2020 Differentiable Causal Backdoor Discovery Limor Gultchin, Matt Kusner, Varun Kanade, Ricardo Silva

ICML 2019 Making Decisions That Reduce Discriminatory Impacts Matt Kusner, Chris Russell, Joshua Loftus, Ricardo Silva

ICML 2018 Blind Justice: Fairness with Encrypted Sensitive Attributes Niki Kilbertus, Adria Gascon, Matt Kusner, Michael Veale, Krishna Gummadi, Adrian Weller

ICLR 2018 Learning a Generative Model for Validity in Complex Discrete Structures Dave Janz, Jos van der Westhuizen, Brooks Paige, Matt Kusner, José Miguel Hernández-Lobato

ICML 2018 TAPAS: Tricks to Accelerate (encrypted) Prediction as a Service Amartya Sanyal, Matt Kusner, Adria Gascon, Varun Kanade

ICML 2015 Differentially Private Bayesian Optimization Matt Kusner, Jacob Gardner, Roman Garnett, Kilian Weinberger

ICML 2015 From Word Embeddings to Document Distances Matt Kusner, Yu Sun, Nicholas Kolkin, Kilian Weinberger

ICML 2014 Bayesian Optimization with Inequality Constraints Jacob Gardner, Matt Kusner, Zhixiang, Kilian Weinberger, John Cunningham

ICML 2014 Stochastic Neighbor Compression Matt Kusner, Stephen Tyree, Kilian Weinberger, Kunal Agrawal

ICML 2013 Anytime Representation Learning Zhixiang Xu, Matt Kusner, Gao Huang, Kilian Weinberger

ICML 2013 Cost-Sensitive Tree of Classifiers Zhixiang Xu, Matt Kusner, Kilian Weinberger, Minmin Chen