| Prediction from compression for models with infinite memory, with applications to hidden Markov and renewal processes Y Han, T Jiang, Y Wu arXiv preprint arXiv:2404.15454, 2024 | | 2024 |
| Kernel-Based Tests for Likelihood-Free Hypothesis Testing PR Gerber, T Jiang, Y Polyanskiy, R Sun Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
| Density estimation using the perceptron PR Gerber, T Jiang, Y Polyanskiy, R Sun arXiv preprint arXiv:2312.17701, 2023 | | 2023 |
| Density estimation using the perceptron P Róbert Gerber, T Jiang, Y Polyanskiy, R Sun arXiv e-prints, arXiv: 2312.17701, 2023 | | 2023 |
| Detection-Recovery and Detection-Refutation Gaps via Reductions from Planted Clique G Bresler, T Jiang The Thirty Sixth Annual Conference on Learning Theory, 5850-5889, 2023 | | 2023 |
| ON THE GENERATIONAL BEHAVIOUR OF GAUSSIAN BINOMIAL COEFFICIENTS AT ROOTS OF UNITY Q Chen, T Jiang, Y Wang | | 2021 |
| Supplement to “Kernel-based tests for Likelihood-Free Hypothesis Testing” PR Gerber, T Jiang, Y Polyanskiy, R Sun, A Notation | | |
| Mean-field approximation and correlation rounding A Cai, O Cheng, T Jiang | | |
Patrik Róbert GerberPhD student, MITVerified email at mit.edu
Patrik Róbert GerberPhD student, MITVerified email at mit.edu
Guy BreslerMITVerified email at mit.edu