Matt J. Kusner

CoRR, 2024

Proxy Methods for Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DAG Learning on the Permutahedron.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Stochastic Causal Programming for Bounding Treatment Effects.

[BibT_eX]

[DOI]

Proceedings of the Conference on Causal Learning and Reasoning, 2023

Adapting to Latent Subgroup Shifts via Concepts and Proxies.

[BibT_eX]

[DOI]

Ibrahim Alabdulmohsin

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

MPC-Friendly Commitments for Publicly Verifiable Covert Security.

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2022

Causal Machine Learning: A Survey and Open Problems.

[BibT_eX]

[DOI]

CoRR, 2022

Evaluating Self-Supervised Learning for Molecular Graph Embeddings.

[BibT_eX]

[DOI]

CoRR, 2022

Questions for Flat-Minima Optimization of Modern Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2022

Local Latent Space Bayesian Optimization over Structured Inputs.

[BibT_eX]

[DOI]

CoRR, 2022

Causal inference with treatment measurement error: a nonparametric instrumental variable approach.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Local Latent Space Bayesian Optimization over Structured Inputs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

When Do Flat Minima Optimizers Work?

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Algorithmic Fairness through the Lens of Causality and Privacy (AFCP) 2022.

[BibT_eX]

[DOI]

Proceedings of the Algorithmic Fairness through the Lens of Causality and Privacy Workshop, 2022

2021

Graph Intervention Networks for Causal Effect Estimation.

[BibT_eX]

[DOI]

CoRR, 2021

Causal Effect Inference for Structured Treatments.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Counterfactual Data Augmentation for Neural Machine Translation.

[BibT_eX]

[DOI]

Qi Liu

Phil Blunsom

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Learning Binary Decision Trees by Argmin Differentiation.

[BibT_eX]

[DOI]

Vlad Niculae

Proceedings of the 38th International Conference on Machine Learning, 2021

Proximal Causal Learning with Kernels: Two-Stage Estimation and Moment Restriction.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Operationalizing Complex Causes: A Pragmatic View of Mediation.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Unsupervised Point Cloud Pre-training via Occlusion Completion.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Learning Binary Trees via Sparse Relaxation.

[BibT_eX]

[DOI]

Vlad Niculae

CoRR, 2020

Pre-Training by Completing Point Clouds.

[BibT_eX]

[DOI]

CoRR, 2020

A Survey on Contextual Embeddings.

[BibT_eX]

[DOI]

Qi Liu

Phil Blunsom

CoRR, 2020

A Class of Algorithms for General Instrumental Variable Models.

[BibT_eX]

[DOI]

Niki Kilbertus

Ricardo Silva

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Barking up the right tree: an approach to search over molecule synthesis DAGs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Differentiable Causal Backdoor Discovery.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Cumulo: A Dataset for Learning Cloud Classes.

[BibT_eX]

[DOI]

CoRR, 2019

Gradient Regularized Budgeted Boosting.

[BibT_eX]

[DOI]

CoRR, 2019

The Sensitivity of Counterfactual Fairness to Unmeasured Confounding.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

A Model to Search for Synthesizable Molecules.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Making Decisions that Reduce Discriminatory Impacts.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Generating Molecules via Chemical Reactions.

[BibT_eX]

[DOI]

Proceedings of the Deep Generative Models for Highly Structured Data, 2019

A Generative Model For Electron Paths.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

QUOTIENT: Two-Party Secure Neural Network Training and Prediction.

[BibT_eX]

[DOI]

Nitin Agrawal

Ali Shahin Shamsabadi

Adrià Gascón

Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019

2018

Causal Interventions for Fairness.

[BibT_eX]

[DOI]

CoRR, 2018

Predicting Electron Paths.

[BibT_eX]

[DOI]

CoRR, 2018

Causal Reasoning for Algorithmic Fairness.

[BibT_eX]

[DOI]

CoRR, 2018

TAPAS: Tricks to Accelerate (encrypted) Prediction As a Service.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Blind Justice: Fairness with Encrypted Sensitive Attributes.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Learning a Generative Model for Validity in Complex Discrete Structures.

[BibT_eX]

[DOI]

David Janz

Jos van der Westhuizen

Brooks Paige

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

When Worlds Collide: Integrating Different Counterfactual Assumptions in Fairness.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Counterfactual Fairness.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Grammar Variational Autoencoder.

[BibT_eX]

[DOI]

Brooks Paige

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

GANS for Sequences of Discrete Elements with the Gumbel-softmax Distribution.

[BibT_eX]

[DOI]