← Authors

Matt Kusner

21 papers · 2013–2025 · 5 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (12) 🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (7) πŸ—ΊοΈ Taxonomy Completionist (29) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (5) πŸ—ƒοΈ Keyword Collector (80) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (21) ❓ The Questioner

Conferences

ICML (14) ICLR (3) AISTATS (2) CLEAR (1) NAACL (1)

Top co-authors

Kilian Weinberger (6) Ricardo Silva (5) Limor Gultchin (3) Niki Kilbertus (2) Arthur Gretton (2) Vlad Niculae (2) Varun Kanade (2) Zhixiang Xu (2) Alexander D’Amour (2) Yuchen Zhu (2)

Research topics

Differential Privacy (1)

Keywords

constrained optimization (3) causal inference (3) test-time cost (2) hyperparameter tuning (2) bayesian optimization (2) causal effect (2) proximal causal learning (2) feature extraction (1) causal effect estimation (1) domain adaptation (1) neural machine translation (1) neural network sparsification (1) data augmentation (1) feature representation (1) algorithmic fairness (1) secure multi-party computation (1) label noise (1) gradient-based optimization (1) document classification (1) nearest neighbor (1)

Papers

When Can Proxies Improve the Sample Complexity of Preference Learning? ICML 2025
Calibrated Physics-Informed Uncertainty Quantification ICML 2025
An Auditing Test to Detect Behavioral Shift in Language Models ICLR 2025
Proxy Methods for Domain Adaptation AISTATS 2024
Stochastic Causal Programming for Bounding Treatment Effects CLEAR 2023
DAG Learning on the Permutahedron ICLR 2023
Proximal Causal Learning with Kernels: Two-Stage Estimation and Moment Restriction ICML 2021
Counterfactual Data Augmentation for Neural Machine Translation NAACL 2021
Learning Binary Decision Trees by Argmin Differentiation ICML 2021
Operationalizing Complex Causes: A Pragmatic View of Mediation ICML 2021
Differentiable Causal Backdoor Discovery AISTATS 2020
Making Decisions that Reduce Discriminatory Impacts ICML 2019
Blind Justice: Fairness with Encrypted Sensitive Attributes ICML 2018
Learning a Generative Model for Validity in Complex Discrete Structures ICLR 2018
TAPAS: Tricks to Accelerate (encrypted) Prediction As a Service ICML 2018
From Word Embeddings To Document Distances ICML 2015
Differentially Private Bayesian Optimization ICML 2015
Stochastic Neighbor Compression ICML 2014
Bayesian Optimization with Inequality Constraints ICML 2014
Anytime Representation Learning ICML 2013
Cost-Sensitive Tree of Classifiers ICML 2013