Yuekai Sun
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
26
Venues
4
Active years
2014–2025
Best venue rank
A*
Where they publish
Papers
26 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AISTATS | Microfoundation inference for strategic prediction. | Daniele Bracale, Subha Maity, Felipe Maia Polo, Seamus Somerstep, Moulinath Banerjee, Yuekai Sun |
| 2025 | AISTATS | Learning the Distribution Map in Reverse Causal Performative Prediction. | Daniele Bracale, Subha Maity, Yuekai Sun, Moulinath Banerjee |
| 2025 | ICLR | LiveXiv - A Multi-Modal live benchmark based on Arxiv papers content. | Nimrod Shabtay, Felipe Maia Polo, Sivan Doveh, Wei Lin, Muhammad Jehanzeb Mirza, Leshem Choshen, Mikhail Yurochkin, Yuekai Sun, Assaf Arbelle, Leonid Karlinsky, Raja Giryes |
| 2025 | ICLR | A transfer learning framework for weak to strong generalization. | Seamus Somerstep, Felipe Maia Polo, Moulinath Banerjee, Yaacov Ritov, Mikhail Yurochkin, Yuekai Sun |
| 2024 | EMNLP | Aligners: Decoupling LLMs and Alignment. | Lilian Ngweta, Mayank Agarwal, Subha Maity, Alex Gittens, Yuekai Sun, Mikhail Yurochkin |
| 2024 | ICLR | Fusing Models with Complementary Expertise. | Hongyi Wang, Felipe Maia Polo, Yuekai Sun, Souvik Kundu, Eric P. Xing, Mikhail Yurochkin |
| 2024 | ICLR | An Investigation of Representation and Allocation Harms in Contrastive Learning. | Subha Maity, Mayank Agarwal, Mikhail Yurochkin, Yuekai Sun |
| 2024 | ICLR | Aligners: Decoupling LLMs and Alignment. | Lilian Ngweta, Mayank Agarwal, Subha Maity, Alex Gittens, Yuekai Sun, Mikhail Yurochkin |
| 2024 | ICLR | Learning in reverse causal strategic environments with ramifications on two sided markets. | Seamus Somerstep, Yuekai Sun, Yaacov Ritov |
| 2024 | ICML | tinyBenchmarks: evaluating LLMs with fewer examples. | Felipe Maia Polo, Lucas Weber, Leshem Choshen, Yuekai Sun, Gongjun Xu, Mikhail Yurochkin |
| 2023 | ICLR | Predictor-corrector algorithms for stochastic optimization under gradual distribution shift. | Subha Maity, Debarghya Mukherjee, Moulinath Banerjee, Yuekai Sun |
| 2023 | ICLR | Understanding new tasks through the lens of training data via exponential tilting. | Subha Maity, Mikhail Yurochkin, Moulinath Banerjee, Yuekai Sun |
| 2023 | ICLR | ISAAC Newton: Input-based Approximate Curvature for Newton's Method. | Felix Petersen, Tobias Sutter, Christian Borgelt, Dongsung Huh, Hilde Kuehne, Yuekai Sun, Oliver Deussen |
| 2023 | ICML | Simple Disentanglement of Style and Content in Visual Representations. | Lilian Ngweta, Subha Maity, Alex Gittens, Yuekai Sun, Mikhail Yurochkin |
| 2021 | ICLR | Individually Fair Rankings. | Amanda Bower, Hamid Eftekhari, Mikhail Yurochkin, Yuekai Sun |
| 2021 | ICLR | Statistical inference for individual fairness. | Subha Maity, Songkai Xue, Mikhail Yurochkin, Yuekai Sun |
| 2021 | ICLR | Individually Fair Gradient Boosting. | Alexander Vargo, Fan Zhang, Mikhail Yurochkin, Yuekai Sun |
| 2021 | ICLR | SenSeI: Sensitive Set Invariance for Enforcing Individual Fairness. | Mikhail Yurochkin, Yuekai Sun |
| 2021 | ICML | Outlier-Robust Optimal Transport. | Debarghya Mukherjee, Aritra Guha, Justin M. Solomon, Yuekai Sun, Mikhail Yurochkin |
| 2020 | AISTATS | Auditing ML Models for Individual Bias and Unfairness. | Songkai Xue, Mikhail Yurochkin, Yuekai Sun |
| 2020 | ICLR | Federated Learning with Matched Averaging. | Hongyi Wang, Mikhail Yurochkin, Yuekai Sun, Dimitris S. Papailiopoulos, Yasaman Khazaeni |
| 2020 | ICLR | Training individually fair ML models with sensitive subspace robustness. | Mikhail Yurochkin, Amanda Bower, Yuekai Sun |
| 2020 | ICML | Two Simple Ways to Learn Individual Fairness Metrics from Data. | Debarghya Mukherjee, Mikhail Yurochkin, Moulinath Banerjee, Yuekai Sun |
| 2019 | AISTATS | Precision Matrix Estimation with Noisy and Missing Data. | Roger Fan, Byoungwook Jang, Yuekai Sun, Shuheng Zhou |
| 2019 | ICML | Dirichlet Simplex Nest and Geometric Inference. | Mikhail Yurochkin, Aritra Guha, Yuekai Sun, XuanLong Nguyen |
| 2014 | ICML | Learning Mixtures of Linear Classifiers. | Yuekai Sun, Stratis Ioannidis, Andrea Montanari |