Moritz Hardt

15.9k citations
62 papers · 5.6k · 2 hit papers · h-index 24

Impact in

Papers in

    • Privacy-Preserving Technologies in Data 15
    • Stochastic Gradient Optimization Techniques 12
    • Machine Learning and Algorithms 10
    • Cryptography and Data Security 7
    • Domain Adaptation and Few-Shot Learning 7
    • Adversarial Robustness in Machine Learning 7
    • Complexity and Algorithms in Graphs 14

Moritz Hardt

55 papers receiving 5.3k citations

Moritz Hardt's Hit Papers

Understanding deep learning (still) requires rethinking generalization 2021 · 1.5k citations
1.5k0+4+9Years since publication50010001.5k

Peers

Moritz Hardt
Comparison fields: 5 of 183
  • Health Informatics 206
  • Safety Research 1.2k
  • Artificial Intelligence 3.6k
  • Computer Science Applications 329
  • Computer Vision and Pattern Recognition 773
Replace Suresh Venkatasubramanian with:
Suresh Venkatasubramanian United States
José Hernández‐Orallo Spain
Kush R. Varshney United States
Carlos Scheidegger United States
Franco Turini Italy
Thomas Hubert United Kingdom
Matthew Lai United States
Marco Túlio Ribeiro United States
Adam Tauman Kalai United States
Yutian Chen China
Moritz Hardt relative to Suresh Venkatasubramanian United States Suresh Venkatasubramanian's profile →
Citations per field
00.5×1.6×
Suresh Venkatasubramanian · 1×
Citations per year

Countries citing papers authored by Moritz Hardt

Since Specialization
Citations

This map shows the geographic impact of Moritz Hardt's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Moritz Hardt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moritz Hardt more than expected).

Fields of papers citing papers by Moritz Hardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Moritz Hardt. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Moritz Hardt. The network helps show where Moritz Hardt may publish in the future.

Co-authors

The 25 scholars most cited alongside Moritz Hardt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Moritz Hardt Line = papers co-authored together Moritz Hardt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Fairness through awareness
Hit paper breakdown →
20121878
2
Understanding deep learning (still) requires rethinking generalization
Hit paper breakdown →
20211461
3 2018247
4 2010201
5 2010190
6 2010188
7 2015174
8
Train faster, generalize better: stability of stochastic gradient descent
2016136
9 2015120
10 2016119
11
A System for Massively Parallel Hyperparameter Tuning
202088
12 201966
13 201155
14
A Meta-Analysis of Overfitting in Machine Learning
201954
15 201351
16 201548
17
Gradient Descent Learns Linear Dynamical Systems
201844
18
Massively Parallel Hyperparameter Tuning
201840
19 201435
20 201334

About Moritz Hardt

Moritz Hardt is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computational Mechanics, Computer Vision and Pattern Recognition and Safety Research, having authored 62 papers that have together received 5.6k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (15 papers), Complexity and Algorithms in Graphs (14 papers), Stochastic Gradient Optimization Techniques (12 papers), Sparse and Compressive Sensing Techniques (11 papers), Machine Learning and Algorithms (10 papers), Cryptography and Data Security (7 papers), Domain Adaptation and Few-Shot Learning (7 papers) and Adversarial Robustness in Machine Learning (7 papers). The work is most often cited by research in Health Informatics (206 citations), Safety Research (1.2k citations), Artificial Intelligence (3.6k citations), Computer Science Applications (329 citations) and Computer Vision and Pattern Recognition (773 citations). Moritz Hardt has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Toniann Pitassi, Omer Reingold, Cynthia Dwork, Benjamin Recht, Richard S. Zemel, Samy Bengio, Chiyuan Zhang, Oriol Vinyals, Guy N. Rothblum and Aaron Roth. Their work appears in journals such as Communications of the ACM, Statistical Science, SIAM Journal on Computing, Science and Lecture notes in computer science.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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