论文与出版物 Modelling Stochastic Volatility in the Kenyan Securities Market Using Hidden Markov Models Matilda Bosire, Samuel Chege Maina Journal of Financial Risk Management | September 2021, 第 10 卷(3)
论文与出版物 Acceleration via Fractal Learning Rate Schedules Naman Agarwal, Surbhi Goel, Cyril Zhang 2021 International Conference on Machine Learning | July 2021
论文与出版物 The Lean 4 Theorem Prover and Programming Language Leonardo de Moura, Sebastian Ullrich 2021 Conference on Automated Deduction | July 2021 Github 项目
论文与出版物 Trellis BMA: coded trace reconstruction on IDS channels for DNA storage Sundara Rajan Srinivasavaradhan, Sivakanth Gopi, Henry Pfister, Sergey Yekhanin International Symposium on Information Theory (ISIT) | July 2021 Github 项目
论文与出版物 Batch optimization for DNA synthesis Konstantin Makarychev, Miklos Racz, Cyrus Rashtchian, Sergey Yekhanin International Symposium on Information Theory (ISIT) | July 2021 项目
论文与出版物 Lower Bounds for Maximally Recoverable Tensor Code and Higher Order MDS Codes Joshua Brakensiek, Sivakanth Gopi, Visu Makam IEEE Transactions on Information Theory | July 2021
论文与出版物 On the Generative Utility of Cyclic Conditionals Chang Liu, Haoyue Tang, Tao Qin, Jintao Wang, Tie-Yan Liu NeurIPS 2021 | June 2021
微软研究院博客 How can generative adversarial networks learn real-life distributions easily 2021年6月10日 | Zeyuan Allen-Zhu, Yuanzhi Li A Generative adversarial network, o…
论文与出版物 Forward Super-Resolution: How Can GANs Learn Hierarchical Generative Models for Real-World Distributions Zeyuan Allen-Zhu, Yuanzhi Li arXiv ePrint | June 2021, (2106.02619)
论文与出版物 Numerical Composition of Differential Privacy Sivakanth Gopi, Yin Tat Lee, Lukas Wutschitz NeurIPS 2021 | June 2021 Spotlight at NeurIPS 2021. Github 项目
