Mikhail Khodak
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
5
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Specialized Foundation Models Struggle to Beat Supervised Baselines. | Zongzhe Xu, Ritvik Gupta, Wenduo Cheng, Alexander Shen, Junhong Shen, Ameet Talwalkar, Mikhail Khodak |
| 2024 | ICLR | Learning to Relax: Setting Solver Parameters Across a Sequence of Linear System Instances. | Mikhail Khodak, Edmond Chow, Maria-Florina Balcan, Ameet Talwalkar |
| 2023 | ICLR | AANG : Automating Auxiliary Learning. | Lucio M. Dery, Paul Michel, Mikhail Khodak, Graham Neubig, Ameet Talwalkar |
| 2023 | ICLR | Meta-Learning in Games. | Keegan Harris, Ioannis Anagnostides, Gabriele Farina, Mikhail Khodak, Steven Wu, Tuomas Sandholm |
| 2023 | ICML | Learning-augmented private algorithms for multiple quantile release. | Mikhail Khodak, Kareem Amin, Travis Dick, Sergei Vassilvitskii |
| 2023 | ICML | Cross-Modal Fine-Tuning: Align then Refine. | Junhong Shen, Liam Li, Lucio M. Dery, Corey Staten, Mikhail Khodak, Graham Neubig, Ameet Talwalkar |
| 2021 | ICLR | Initialization and Regularization of Factorized Neural Layers. | Mikhail Khodak, Neil A. Tenenholtz, Lester Mackey, Nicol Fusi |
| 2021 | ICLR | Geometry-Aware Gradient Algorithms for Neural Architecture Search. | Liam Li, Mikhail Khodak, Nina Balcan, Ameet Talwalkar |
| 2020 | ICLR | Differentially Private Meta-Learning. | Jeffrey Li, Mikhail Khodak, Sebastian Caldas, Ameet Talwalkar |
| 2020 | ICML | A Sample Complexity Separation between Non-Convex and Convex Meta-Learning. | Nikunj Saunshi, Yi Zhang, Mikhail Khodak, Sanjeev Arora |
| 2019 | ICML | Provable Guarantees for Gradient-Based Meta-Learning. | Maria-Florina Balcan, Mikhail Khodak, Ameet Talwalkar |
| 2019 | ICML | A Theoretical Analysis of Contrastive Unsupervised Representation Learning. | Nikunj Saunshi, Orestis Plevrakis, Sanjeev Arora, Mikhail Khodak, Hrishikesh Khandeparkar |
| 2018 | ACL | A La Carte Embedding: Cheap but Effective Induction of Semantic Feature Vectors. | Mikhail Khodak, Nikunj Saunshi, Yingyu Liang, Tengyu Ma, Brandon Stewart, Sanjeev Arora |
| 2018 | ICLR | A Compressed Sensing View of Unsupervised Text Embeddings, Bag-of-n-Grams, and LSTMs. | Sanjeev Arora, Mikhail Khodak, Nikunj Saunshi, Kiran Vodrahalli |
| 2018 | INFOCOM | Learning Cloud Dynamics to Optimize Spot Instance Bidding Strategies. | Mikhail Khodak, Liang Zheng, Andrew S. Lan, Carlee Joe-Wong, Mung Chiang |
| 2018 | LREC | A Large Self-Annotated Corpus for Sarcasm. | Mikhail Khodak, Nikunj Saunshi, Kiran Vodrahalli |