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Proceedings of Machine Learning Research
ISSN: 2640-3498
The Proceedings of Machine Learning Research is a series that publishes machine learning research papers presented at conferences and workshops. Each volume is separately titled and associated with a particular workshop or conference and will be published online on the PMLR web site. Authors retain copyright.
Editors
The Series Editor is Neil Lawrence. Please send proposals for new volumes under this series to us via e-mail: proceedingsmlr.press. Each proposal should include:
- A brief description of the event's scope and topics to be covered.
- A description of the review process for the proceedings.
- The names and short CVs (a few lines) of the proposed Proceedings Editors.
For frequently asked questions on publishing proceedings please see the FAQ.
For details on how to prepare a proceedings for publication please see the Specification.
Reissue Series
We have launched a "reissue series" for republishing volumes of papers that are no longer on line. Our first reissues are early editions of AISTATS, AISTATS 1995, AISTATS 1997, AISTATS 1999, AISTATS 2001, AISTATS 2003 and AISTATS 2005. To suggest volumes for the reissue series contact the editors. You will need to provide the information provided in the Proceedings Specification to provide the volume.
- Volume R6-draft Reissue of UAI 1998
- Volume R0 Pre-proceedings of AISTATS 1995
- Volume R5 Proceedings of AISTATS 2005
- Volume R4 Proceedings of AISTATS 2003
- Volume R3 Proceedings of AISTATS 2001
- Volume R2 Proceedings of AISTATS 1999
- Volume R1 Proceedings of AISTATS 1997
Proceedings
- Volume 256 Proceedings of AutoML 2024
- Volume 255 Proceedings of ML Meets Differential Equations
- Volume 244 Proceedings of UAI 2024
- Volume 230 Proceedings of COPA 2024
- Volume 246 Proceedings of PGM 2024
- Volume 249 Proceedings of the 1st ContinualAI Unconference
- Volume 257 AI for Education Workshop 2024
- Volume 228 Proceedings of NeuReps 2023
- Volume 245 Proceedings of MLIC 2024
- Volume 253 AABI 2024 Proceedings
- Volume 248 Proceedings of CHIL 2024
- Volume 235 Proceedings of ICML 2024
- Volume 247 Proceedings of COLT 2024
- Volume 242 Proceedings of L4DC 2024
- Volume 241 Proceedings of LIDTA 2023
- Volume 243 Proceedings of UniReps
- Volume 226 Proceedings of the NeurIPS 2023 Gaze Meets ML Workshop
- Volume 239 "I Can't Believe It's Not Better" NeurIPS Workshop 2023
- Volume 238 Proceedings of AISTATS 2024
- Volume 231 Proceedings of Learning on Graphs 2023
- Volume 236 Proceedings of CLeaR 2024
- Volume 240 Proceedings of MLCB 2024
- Volume 237 Proceedings of ALT 2024
- Volume 222 Proceedings of ACML 2023
- Volume 227 Proceedings of Medical Imaging with Deep Learning 2023
- Volume 233 Proceedings of the Northern Lights Deep Learning Workshop 2024
- Volume 234 Proceedings of Conference on Parsimony and Learning 2024
- Volume 219 Proceedings of Machine Learning for Healthcare 2023
- Volume 225 Proceedings of the 3rd Machine Learning for Health Symposium
- Volume 207 Proceedings of the 3rd TeachML Workshop
- Volume 224 Proceedings of AutoML 2023
- Volume 229 Proceedings of CoRL 2023
- Volume 223 Proceedings of CAWS 2023
- Volume 232 Proceedings of CoLLAs 2023
- Volume 221 Proceedings of the 2nd Annual Topology, Algebra, and Geometry in Machine Learning (TAG-ML)
- Volume 220 Proceedings of the NeurIPS 2022 Competitions Track
- Volume 204 COPA 2023 Proceedings
- Volume 213 Proceedings of CLeaR 2023
- Volume 218 Proceedings of KDD Workshop on Causal Discovery, Prediction and Decision 2023
- Volume 195 Proceedings of COLT 2023
- Volume 215 Proceedings of ISIPTA 2023
- Volume 217 Proceedings of ICGI 2023
- Volume 202 Proceedings of ICML 2023
- Volume 216 Proceedings of UAI 2023
- Volume 209 Proceedings of Conference on Health, Inference, and Learning 2023
- Volume 211 Proceedings of L4DC 2023
- Volume 214 Proceedings of AFCP 2022
- Volume 208 Proceedings of the AAAI Bridge Symposium on Continual Causality 2023
- Volume 212 Proceedings of the NeurIPS Cell Segmentation Challenge 2022
- Volume 189 Proceedings of ACML 2022
- Volume 206 Proceedings of AISTATS 2023
- Volume 210 Proceedings of the NeurIPS 2022 Gaze Meets ML Workshop
- Volume 192 Proceedings of the 3rd Workshop on Self-Supervised Learning
- Volume 205 Proceedings of CoRL 2022
- Volume 187 "I Can't Believe It's Not Better" NeurIPS Workshop 2022
- Volume 201 Proceedings of ALT 2023
- Volume 197 Proceedings of NeurReps Workshop 2022
- Volume 182 Proceedings of MLHC 2022
- Volume 203 Proceedings of Transfer Learning for NLP 2022
- Volume 166 Proceedings of HEAR 2021
- Volume 191 Proceedings of ECML/PKDD Workshop on Meta-Knowledge Transfer 2022
- Volume 198 Proceedings of Learning on Graphs 2022
- Volume 200 Proceedings of MLCB 2022
- Volume 172 Proceedings of Medical Imaging with Deep Learning
- Volume 194 Proceedings of Geometric Deep Learning in Medical Image Analysis
- Volume 199 Proceedings of CoLLAs 2022
- Volume 193 Proceedings of 2nd Machine Learning for Health Symposium
- Volume 196 Proceedings of Topological, Algebraic and Geometric Learning Workshops 2022
- Volume 183 Proceedings of LIDTA 2022
- Volume 181 Proceedings of the NeurIPS 2021 Workshop on Pre-registration in Machine Learning
- Volume 188 Proceedings of AutoML-Conf 2022
- Volume 186 Proceedings of PGM 2022
- Volume 190 Proceedings of MSML 2022
- Volume 179 Proceedings of the 11th Symposium on Conformal and Probabilistic Prediction with Applications
- Volume 180 Proceedings of UAI 2022
- Volume 185 Proceedings of KDD Workshop on Causal Discovery 2022
- Volume 184 Proceedings of ICML 2022 Workshop on Healthcare AI and COVID-19
- Volume 176 Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track
- Volume 162 Proceedings of ICML 2022
- Volume 177 Proceedings of CLeaR 2022
- Volume 178 Proceedings of COLT 2022
- Volume 168 Proceedings of Learning for Dynamics and Control 2022
- Volume 151 Proceedings of AISTATS 2022
- Volume 145 Proceedings of MSML 2021
- Volume 159 Proceedings of IWSSL 2021
- Volume 174 Proceedings of CHIL 2022
- Volume 173 Proceedings of ICCV 2021 DYAD Workshop
- Volume 167 ALT 2022 Proceedings
- Volume 170 Proceedings of the 2nd Teaching Machine Learning and Artificial Intelligence Workshop
- Volume 171 Proceedings of AFCR 2021
- Volume 163 "I Can't Believe It's Not Better" NeurIPS Workshop 2021
- Volume 164 Proceedings of CoRL 2021
- Volume 165 Proceedings of MLCB 2021
- Volume 161 Proceedings of UAI 2021
- Volume 160 Proceedings of Causal Analysis Workshop 2021
- Volume 158 ML4H Symposium 2021
- Volume 157 Proceedings of ACML 2021
- Volume 149 Proceedings of Machine Learning for Healthcare 2021
- Volume 155 Proceedings of CoRL 2020
- Volume 154 Proceedings of LIDTA 2021
- Volume 152 COPA 2021 Proceedings
- Volume 142 Proceedings of 2nd Workshop on Diversity in Artificial Intelligence
- Volume 156 Proceedings of COMPAY 2021
- Volume 153 Proceedings of ICGI 2020
- Volume 143 Proceedings of MIDL 2021
- Volume 140 Proceedings of AAAI Workshop on Meta-Learning and MetaDL Challenge
- Volume 147 Proceedings of ISIPTA 2021
- Volume 133 NeurIPS 2020 Competition and Demonstration Track
- Volume 150 Proceedings of KDD Workshop on Causal Discovery 2021
- Volume 134 Proceedings of COLT 2021
- Volume 148 Workshop on Preregistration in Machine Learning
- Volume 139 Proceedings of ICML 2021
- Volume 144 Proceedings of Learning for Dynamics and Control 2021
- Volume 146 Proceedings of AAAI Symposium on Survival Prediction - Algorithms, Challenges, and Applications
- Volume 141 Proceedings of the First Teaching Machine Learning and Artificial Intelligence Workshop
- Volume 130 Proceedings of AISTATS 2021
- Volume 132 ALT 2021 Proceedings
- Volume 137 "I Can't Believe It's Not Better" NeurIPS Workshop 2020
- Volume 138 Proceedings of PGM 2020
- Volume 136 NeurIPS 2020 ML4H Workshop
- Volume 122 Proceedings of 3rd Workshop on AI in Affective Computing
- Volume 119 Proceedings of ICML 2020
- Volume 129 Proceedings of ACML 2020
- Volume 121 Proceedings of MIDL 2020
- Volume 126 Proceedings of Machine Learning for Healthcare 2020
- Volume 131 Proceedings of the International Workshop on Self-Supervised Learning
- Volume 124 Proceedings of UAI 2020
- Volume 127 KDD 2020 Workshop on Causal Discovery
- Volume 123 NeurIPS 2019 Competition and Demonstration Track
- Volume 107 Proceedings of MSML 2020
- Volume 128 COPA 2020 Proceedings
- Volume 115 Proceedings of UAI 2019
- Volume 120 Proceedings of Learning for Dynamics and Control
- Volume 125 COLT 2020 Proceedings
- Volume 108 Proceedings of AISTATS 2020
- Volume 116 NeurIPS 2019 ML4H Workshop
- Volume 86 IJCAI workshop on AI and Affective Computing
- Volume 118 AABI 2019 Proceedings
- Volume 117 ALT 2020 Proceedings
- Volume 106 Proceedings of Machine Learning for Healthcare 2019
- Volume 101 ACML 2019 Proceedings
- Volume 109 Workshop on Online Recommender Systems and User Modeling 2019
- Volume 105 Workshop on Conformal and Probabilistic Prediction with Applications (COPA) 2019
- Volume 104 KDD Workshop on Causal Discovery 2019
- Volume 103 ISIPTA 2019
- Volume 102 Proceedings of MIDL 2019
- Volume 97 Proceedings of ICML 2019
- Volume 96 AABI 2018 Proceedings
- Volume 89 Proceedings of AISTATS 2019
- Volume 93 ICGI 2018 Proceedings
- Volume 100 CoRL 2019
- Volume 99 COLT 2019
- Volume 98 ALT 2019 Proceedings
- Volume 85 Proceedings of Machine Learning for Healthcare 2018
- Volume 94 LIDTA 2018 Proceedings
- Volume 95 ACML 2018 Proceedings
- Volume 87 CoRL 2018
- Volume 92 2018 KDD Workshop on Causal Discovery
- Volume 82 Proceedings of PAPIs 2017
- Volume 88 Proceedings of COST 2018
- Volume 75 Proceedings of COLT 2018
- Volume 80 Proceedings of ICML 2018
- Volume 91 COPA 2018
- Volume 90 ADE Identification
- Volume 83 ALT 2018 Proceedings
- Volume 84 AISTATS 2018 Proceedings
- Volume 81 FAT* 2018 Proceedings
- Volume 79 Open Algorithm Selection Challenge 2017
- Volume 68 Proceedings of Machine Learning for Healthcare 2017
- Volume 77 ACML 2017 Proceedings
- Volume 78 CoRL 2017 Proceedings
- Volume 74 LIDTA 2017 Proceedings
- Volume 76 ALT 2017 Proceedings
- Volume 72 Conference on Probabilistic Graphical Models 2018
- Volume 73 2017 Workshop on Advanced Methodologies for Bayesian Networks
- Volume 71 Proceedings of the KDD 2017 Workshop on Anomaly Detection in Finance
- Volume 70 Proceedings of ICML 2017
- Volume 69 MIH 2017 Proceedings
- Volume 67 3rd International Conference on Predictive Applications and APIs
- Volume 66 1st IJCAI Workshop on Artificial Intelligence in Affective Computing
- Volume 65 COLT 2017 Proceedings
- Volume 62 ISIPTA '17 Proceedings
- Volume 60 Workshop on Conformal and Probabilistic Prediction with Applications (COPA) 2017
- Volume 58 NIPS 2016 Workshop on Imperfect Decision Makers
- Volume 54 AISTATS 2017 Proceedings
- Volume 64 AutoML 2016 Workshop Proceedings
- Volume 63 ACML 2016 Proceedings
- Volume 57 ICGI 2016 Proceedings
- Volume 56 Proceedings of Machine Learning for Healthcare 2016
- Volume 55 NIPS 2016 Time Series Workshop
- Volume 53 BigMine 2016 Proceedings
- Volume 52 PGM 2016 Proceedings
- Volume 51 AISTATS 2016 Proceedings
- Volume 50 PAPIs 2015 Proceedings
- Volume 49 COLT 2016 Proceedings
- Volume 48 ICML 2016 Proceedings
- Volume 47 ECML/PKDD Workshop on Statistically Sound Data Mining 2014 Proceedings
- Volume 46 Neural Connectomics Workshop 2014 Proceedings
- Volume 45 ACML 2015 Proceedings
- Volume 44 NIPS Workshop on Feature Extraction 2015 Proceedings
- Volume 43 MLIS 2015 Proceedings
- Volume 42 HEPML 2014 Proceedings
- Volume 41 BigMine 2015 Proceedings
- Volume 40 COLT 2015 Proceedings
- Volume 39 ACML 2014 Proceedings
- Volume 38 AISTATS 2015 Proceedings
- Volume 37 ICML 2015 Proceedings
- Volume 36 BIGMINE 2014 Proceedings
- Volume 35 COLT 2014 Proceedings
- Volume 34 ICGI 2014 Proceedings
- Volume 33 AISTATS 2014 Proceedings
- Volume 32 ICML 2014 Proceedings
- Volume 31 AISTATS 2013 Proceedings
- Volume 30 COLT 2013 Proceedings
- Volume 29 ACML 2013 Proceedings
- Volume 28 ICML 2013 Proceedings
- Volume 27 Unsupervised and Transfer Learning Workshop at ICML 2011
- Volume 26 On-line Trading of Exploration and Exploitation 2011 Proceedings
- Volume 25 ACML 2012 Proceedings
- Volume 24 EWRL 2012 Proceedings
- Volume 23 COLT 2012 Proceedings
- Volume 22 AISTATS 2012 Proceedings
- Volume 21 ICGI 2012 Proceedings
- Volume 20 ACML 2011 Proceedings
- Volume 19 COLT 2011 Proceedings
- Volume 18 KDD Cup 2011
- Volume 17 Workshop on Applications of Pattern Analysis (WAPA) 2011 Proceedings
- Volume 16 Active Learning and Experimental Design Workshop
- Volume 15 AISTATS 2011 Proceedings
- Volume 14 Proceedings of the Learning to Rank Challenge
- Volume 13 ACML 2010 Proceedings
- Volume 12 NIPS Mini-Symposium on Causality in Time Series
- Volume 11 Workshop on Applications of Pattern Analysis (WAPA) 2010 Proceedings
- Volume 10 FSDM 2010 Proceedings
- Volume 9 AISTATS 2010 Proceedings
- Volume 8 Proceedings of MLSB 2009
- Volume 7 Proceedings of KDD-Cup 2009 competition
- Volume 6 Causality: Objectives and Assessment (NIPS 2008 Workshop)
- Volume 5 AISTATS 2009 Proceedings
- Volume 4 New Challenges for Feature Selection in Data Mining and Knowledge Discovery
- Volume 3 Causation and Prediction Challenge (WCCI 2008)
- Volume 2 AISTATS 2007 Proceedings
- Volume 1 Gaussian Processes in Practice
The rebranding of JMLR W&CP was finalized on 10th April 2017. The first volume to be published only on the PMLR site is volume 54, the 2017 AISTATS Proceedings. The ISSN of the old proceedings was: 1938-7228.
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