Jordan T. Ash
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
14
Venues
7
Active years
2011–2025
Best venue rank
A*
Where they publish
Papers
14 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Self-Improvement in Language Models: The Sharpening Mechanism. | Audrey Huang, Adam Block, Dylan J. Foster, Dhruv Rohatgi, Cyril Zhang, Max Simchowitz, Jordan T. Ash, Akshay Krishnamurthy |
| 2025 | ICML | On the Query Complexity of Verifier-Assisted Language Generation. | Edoardo Botta, Yuchen Li, Aashay Mehta, Jordan T. Ash, Cyril Zhang, Andrej Risteski |
| 2024 | ACL | An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models. | Gantavya Bhatt, Yifang Chen, Arnav Mohanty Das, Jifan Zhang, Sang T. Truong, Stephen Mussmann, Yinglun Zhu, Jeff A. Bilmes, Simon S. Du, Kevin Jamieson, Jordan T. Ash, Robert D. Nowak |
| 2024 | ICLR | The Truth is in There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction. | Pratyusha Sharma, Jordan T. Ash, Dipendra Misra |
| 2023 | ECAI | Understanding and Improving Neural Active Learning on Heteroskedastic Distributions. | Savya Khosla, Chew Kin Whye, Jordan T. Ash, Cyril Zhang, Kenji Kawaguchi, Alex Lamb |
| 2023 | ICLR | Transformers Learn Shortcuts to Automata. | Bingbin Liu, Jordan T. Ash, Surbhi Goel, Akshay Krishnamurthy, Cyril Zhang |
| 2023 | ICML | Streaming Active Learning with Deep Neural Networks. | Akanksha Saran, Safoora Yousefi, Akshay Krishnamurthy, John Langford, Jordan T. Ash |
| 2022 | AISTATS | Investigating the Role of Negatives in Contrastive Representation Learning. | Jordan T. Ash, Surbhi Goel, Akshay Krishnamurthy, Dipendra Misra |
| 2022 | ICLR | Anti-Concentrated Confidence Bonuses For Scalable Exploration. | Jordan T. Ash, Cyril Zhang, Surbhi Goel, Akshay Krishnamurthy, Sham M. Kakade |
| 2022 | ICML | Understanding Contrastive Learning Requires Incorporating Inductive Biases. | Nikunj Saunshi, Jordan T. Ash, Surbhi Goel, Dipendra Misra, Cyril Zhang, Sanjeev Arora, Sham M. Kakade, Akshay Krishnamurthy |
| 2020 | ICLR | Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds. | Jordan T. Ash, Chicheng Zhang, Akshay Krishnamurthy, John Langford, Alekh Agarwal |
| 2019 | UAI | End-to-end Training of Deep Probabilistic CCA on Paired Biomedical Observations. | Gregory W. Gundersen, Bianca Dumitrascu, Jordan T. Ash, Barbara E. Engelhardt |
| 2018 | ICML | Learning Deep ResNet Blocks Sequentially using Boosting Theory. | Furong Huang, Jordan T. Ash, John Langford, Robert E. Schapire |
| 2011 | HCI | Scratchable Devices: User-Friendly Programming for Household Appliances. | Jordan T. Ash, Monica Babes, Gal Cohen, Sameen Jalal, Sam Lichtenberg, Michael L. Littman, Vukosi Marivate, Phillip Quiza, Blase Ur, Emily Zhang |