Om Thakkar
OpenAI (United States)(US)
Publications by Year
Research Areas
Privacy-Preserving Technologies in Data, Stochastic Gradient Optimization Techniques, Speech Recognition and Synthesis, Cryptography and Data Security, Topic Modeling
Most-Cited Works
- → Towards Practical Differentially Private Convex Optimization(2019)130 cited
- → Differentially Private Learning with Adaptive Clipping(2019)89 cited
- → Understanding Unintended Memorization in Language Models Under Federated Learning(2021)34 cited
- → Practical and Private (Deep) Learning without Sampling or Shuffling(2021)22 cited
- → Understanding Unintended Memorization in Federated Learning(2020)20 cited
- Characterizing Private Clipped Gradient Descent on Convex Generalized Linear Problems.(2020)
- → Training Production Language Models without Memorizing User Data(2020)16 cited
- → Measuring Forgetting of Memorized Training Examples(2022)15 cited
- → The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection(2022)14 cited