← Authors

Moritz Hardt

49 papers · 2012–2025 · 7 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (8) πŸƒ Academic Marathon (13) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (7) πŸ—ΊοΈ Taxonomy Completionist (18) 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (7) πŸ‘‘ Triple Crown πŸ† Keyword Champion ⚑ Prolific Year (11) πŸ”₯ Unstoppable (14) πŸ—ƒοΈ Keyword Collector (159) πŸ’Ž Century Club (49) ❓ The Questioner (2) πŸ“ˆ Trend Setter

Conferences

ICML (17) NIPS (16) ICLR (9) COLT (4) AISTATS (1) IJCAI (1) JMLR (1)

Top co-authors

Celestine Mendler-DΓΌnner (9) John Miller (5) Ludwig Schmidt (4) Max Simchowitz (4) Lydia T. Liu (4) Tijana Zrnic (4) Rediet Abebe (4) Florian E. Dorner (3) Sarah Dean (3) Vitaly Feldman (3)

Research topics

Differential Privacy (2)

Keywords

causal inference (5) differential privacy (4) fairness criterion (4) benchmark evaluation (3) distribution shift (3) learning theory (3) strategic classification (3) matrix completion (3) tabular datum (2) temporal modeling (2) linear dynamical system (2) non-convex optimization (2) algorithmic fairness (2) domain generalization (2) performative prediction (2) game theory (2) low-rank matrix (2) multiclass classification (2) stochastic gradient descent (2) generalization bound (2)

Papers

Policy Design in Long-run Welfare Dynamics ICLR 2025
Limits to scalable evaluation at the frontier: LLM as judge won’t beat twice the data ICLR 2025
Training on the Test Task Confounds Evaluation and Emergence ICLR 2025
Lawma: The Power of Specialization for Legal Annotation ICLR 2025
Inherent Trade-Offs between Diversity and Stability in Multi-Task Benchmarks ICML 2024
Allocation Requires Prediction Only if Inequality Is Low ICML 2024
Causal Inference out of Control: Estimating Performativity without Treatment Randomization ICML 2024
Questioning the Survey Responses of Large Language Models NIPS 2024
An engine not a camera: Measuring performative power of online search NIPS 2024
Evaluating language models as risk scores NIPS 2024
Don’t Label Twice: Quantity Beats Quality when Comparing Binary Classifiers on a Budget ICML 2024
Causal Inference from Competing Treatments ICML 2024
Test-Time Training on Nearest Neighbors for Large Language Models ICLR 2024
Unprocessing Seven Years of Algorithmic Fairness ICLR 2024
Do causal predictors generalize better to new domains? NIPS 2024
A Theory of Dynamic Benchmarks ICLR 2023
Algorithmic Collective Action in Machine Learning ICML 2023
Performative Power NIPS 2022
Alternative Microfoundations for Strategic Classification ICML 2021
Retiring Adult: New Datasets for Fair Machine Learning NIPS 2021
Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning ICML 2020
Strategic Classification is Causal Modeling in Disguise ICML 2020
Stochastic Optimization for Performative Prediction NIPS 2020
Linear Dynamics: Clustering without identification AISTATS 2020
Test-Time Training with Self-Supervision for Generalization under Distribution Shifts ICML 2020
Identity Crisis: Memorization and Generalization Under Extreme Overparameterization ICLR 2020
Performative Prediction ICML 2020
The Implicit Fairness Criterion of Unconstrained Learning ICML 2019
Model Similarity Mitigates Test Set Overuse NIPS 2019
A Meta-Analysis of Overfitting in Machine Learning NIPS 2019
Open Problem: How fast can a multiclass test set be overfit? COLT 2019
Stable Recurrent Models ICLR 2019
Delayed Impact of Fair Machine Learning IJCAI 2019
The advantages of multiple classes for reducing overfitting from test set reuse ICML 2019
Natural Analysts in Adaptive Data Analysis ICML 2019
Sanity Checks for Saliency Maps NIPS 2018
Delayed Impact of Fair Machine Learning ICML 2018
Gradient Descent Learns Linear Dynamical Systems JMLR 2018
Avoiding Discrimination through Causal Reasoning NIPS 2017
Train faster, generalize better: Stability of stochastic gradient descent ICML 2016
Equality of Opportunity in Supervised Learning NIPS 2016
The Ladder: A Reliable Leaderboard for Machine Learning Competitions ICML 2015
Generalization in Adaptive Data Analysis and Holdout Reuse NIPS 2015
Differentially Private Learning of Structured Discrete Distributions NIPS 2015
Fast matrix completion without the condition number COLT 2014
Computational Limits for Matrix Completion COLT 2014
The Noisy Power Method: A Meta Algorithm with Applications NIPS 2014
Algorithms and Hardness for Robust Subspace Recovery COLT 2013
A Simple and Practical Algorithm for Differentially Private Data Release NIPS 2012