Publications (43)
Learning Binary Decision Trees by Argmin Differentiation
Valentina Zantedeschi, Matt J. Kusner, Vlad Niculae
Gradient Regularized Budgeted Boosting
Zhixiang Eddie Xu, Matt J. Kusner, Kilian Q. Weinberger +1
Barking up the right tree: an approach to search over molecule synthesis DAGs
John Bradshaw, Brooks Paige, Matt J. Kusner +2
A Survey on Contextual Embeddings
Qi Liu, Matt J. Kusner, Phil Blunsom
Blind Justice: Fairness with Encrypted Sensitive Attributes
Niki Kilbertus, Adrià Gascón, Matt J. Kusner +3
Proximal Causal Learning with Kernels: Two-Stage Estimation and Moment Restriction
Afsaneh Mastouri, Yuchen Zhu, Limor Gultchin +5
Causal Interventions for Fairness
Matt J. Kusner, Chris Russell, Joshua R. Loftus +1
Private Causal Inference
Matt J. Kusner, Yu Sun, Karthik Sridharan +1
Cost-Sensitive Tree of Classifiers
Zhixiang Xu, Matt J. Kusner, Kilian Q. Weinberger +1
Calibrated Physics-Informed Uncertainty Quantification
Vignesh Gopakumar, Ander Gray, Lorenzo Zanisi +5
Operationalizing Complex Causes: A Pragmatic View of Mediation
Limor Gultchin, David S. Watson, Matt J. Kusner +1
GANS for Sequences of Discrete Elements with the Gumbel-softmax Distribution
Matt J. Kusner, José Miguel Hernández-Lobato
No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language Models
Jean Kaddour, Oscar Key, Piotr Nawrot +2
Deep Manifold Traversal: Changing Labels with Convolutional Features
Jacob R. Gardner, Paul Upchurch, Matt J. Kusner +4
Uncertainty Quantification of Surrogate Models using Conformal Prediction
Vignesh Gopakumar, Ander Gray, Joel Oskarsson +5
An Auditing Test To Detect Behavioral Shift in Language Models
Leo Richter, Xuanli He, Pasquale Minervini +1
Counterfactual Fairness
Matt J. Kusner, Joshua R. Loftus, Chris Russell +1
Causal Effect Inference for Structured Treatments
Jean Kaddour, Yuchen Zhu, Qi Liu +2
Differentially Private Bayesian Optimization
Matt J. Kusner, Jacob R. Gardner, Roman Garnett +1
Image Data Compression for Covariance and Histogram Descriptors
Matt J. Kusner, Nicholas I. Kolkin, Stephen Tyree +1
Cumulo: A Dataset for Learning Cloud Classes
Valentina Zantedeschi, Fabrizio Falasca, Alyson Douglas +3
MPC-Friendly Commitments for Publicly Verifiable Covert Security
Nitin Agrawal, James Bell, Adrià Gascón +1
Differentiable Causal Backdoor Discovery
Limor Gultchin, Matt J. Kusner, Varun Kanade +1
Learning Physical Operators using Neural Operators
Vignesh Gopakumar, Ander Gray, Dan Giles +5
Setting the Record Straight on Transformer Oversmoothing
Gbètondji J-S Dovonon, Michael M. Bronstein, Matt J. Kusner
Proxy Methods for Domain Adaptation
Katherine Tsai, Stephen R. Pfohl, Olawale Salaudeen +5
TAPAS: Tricks to Accelerate (encrypted) Prediction As a Service
Amartya Sanyal, Matt J. Kusner, Adrià Gascón +1
Agentic Uncertainty Reveals Agentic Overconfidence
Jean Kaddour, Srijan Patel, Gbètondji Dovonon +3
When Do Flat Minima Optimizers Work?
Jean Kaddour, Linqing Liu, Ricardo Silva +1
QUOTIENT: Two-Party Secure Neural Network Training and Prediction
Nitin Agrawal, Ali Shahin Shamsabadi, Matt J. Kusner +1
Plausible Deniability Guarantees for Whistleblowers
Leo Richter, Matt J. Kusner
The paper proposes formal privacy guarantees for whistleblowers by applying per-report (0,δ)-differential privacy to audit selection transcripts, using a reduction to private conti…
Grammar Variational Autoencoder
Matt J. Kusner, Brooks Paige, José Miguel Hernández-Lobato
The Sensitivity of Counterfactual Fairness to Unmeasured Confounding
Niki Kilbertus, Philip J. Ball, Matt J. Kusner +2
Causal Machine Learning: A Survey and Open Problems
Jean Kaddour, Aengus Lynch, Qi Liu +2
A Class of Algorithms for General Instrumental Variable Models
Niki Kilbertus, Matt J. Kusner, Ricardo Silva
Learning a Generative Model for Validity in Complex Discrete Structures
David Janz, Jos van der Westhuizen, Brooks Paige +2
Adapting to Latent Subgroup Shifts via Concepts and Proxies
Ibrahim Alabdulmohsin, Nicole Chiou, Alexander D'Amour +7
Local Latent Space Bayesian Optimization over Structured Inputs
Natalie Maus, Haydn T. Jones, Juston S. Moore +3
DAG Learning on the Permutahedron
Valentina Zantedeschi, Luca Franceschi, Jean Kaddour +2
A Generative Model For Electron Paths
John Bradshaw, Matt J. Kusner, Brooks Paige +2
Causal Reasoning for Algorithmic Fairness
Joshua R. Loftus, Chris Russell, Matt J. Kusner +1
When Can Proxies Improve the Sample Complexity of Preference Learning?
Yuchen Zhu, Daniel Augusto de Souza, Zhengyan Shi +4
A Model to Search for Synthesizable Molecules
John Bradshaw, Brooks Paige, Matt J. Kusner +2