Matt Kusner

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

Achievements

+8 more ↓

🌍 Conference Polyglot (5) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🏃 Academic Marathon (12)

🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (5) 🗃️ Keyword Collector (80) 🚀 Conference Pioneer 📈 Trend Setter 💎 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