| 2026 | COLT | Linear Regression under Missing or Corrupted Coordinates. | Ilias Diakonikolas, Jelena Diakonikolas, Daniel M. Kane, Jasper C. H. Lee, Thanasis Pittas |
| 2025 | COLT | Robustly Learning Monotone Generalized Linear Models via Data Augmentation. | Nikos Zarifis, Puqian Wang, Ilias Diakonikolas, Jelena Diakonikolas |
| 2025 | ICLR | Last Iterate Convergence of Incremental Methods as a Model of Forgetting. | Xufeng Cai, Jelena Diakonikolas |
| 2024 | ICLR | Variance Reduced Halpern Iteration for Finite-Sum Monotone Inclusions. | Xufeng Cai, Ahmet Alacaoglu, Jelena Diakonikolas |
| 2024 | ICML | Robustly Learning Single-Index Models via Alignment Sharpness. | Nikos Zarifis, Puqian Wang, Ilias Diakonikolas, Jelena Diakonikolas |
| 2023 | COLT | Information-Computation Tradeoffs for Learning Margin Halfspaces with Random Classification Noise. | Ilias Diakonikolas, Jelena Diakonikolas, Daniel M. Kane, Puqian Wang, Nikos Zarifis |
| 2023 | ICML | Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization. | Xufeng Cai, Chaobing Song, Stephen J. Wright, Jelena Diakonikolas |
| 2023 | ICML | Accelerated Cyclic Coordinate Dual Averaging with Extrapolation for Composite Convex Optimization. | Cheuk Yin Lin, Chaobing Song, Jelena Diakonikolas |
| 2023 | ICML | Robustly Learning a Single Neuron via Sharpness. | Puqian Wang, Nikos Zarifis, Ilias Diakonikolas, Jelena Diakonikolas |
| 2021 | AISTATS | Efficient Methods for Structured Nonconvex-Nonconcave Min-Max Optimization. | Jelena Diakonikolas, Constantinos Daskalakis, Michael I. Jordan |
| 2021 | ICML | Parameter-free Locally Accelerated Conditional Gradients. | Alejandro Carderera, Jelena Diakonikolas, Cheuk Yin Lin, Sebastian Pokutta |
| 2021 | ICML | Variance Reduction via Primal-Dual Accelerated Dual Averaging for Nonsmooth Convex Finite-Sums. | Chaobing Song, Stephen J. Wright, Jelena Diakonikolas |
| 2020 | AISTATS | Langevin Monte Carlo without smoothness. | Niladri S. Chatterji, Jelena Diakonikolas, Michael I. Jordan, Peter L. Bartlett |
| 2020 | AISTATS | Locally Accelerated Conditional Gradients. | Jelena Diakonikolas, Alejandro Carderera, Sebastian Pokutta |
| 2020 | COLT | Halpern Iteration for Near-Optimal and Parameter-Free Monotone Inclusion and Strong Solutions to Variational Inequalities. | Jelena Diakonikolas |
| 2019 | COLT | Lower Bounds for Parallel and Randomized Convex Optimization. | Jelena Diakonikolas, Cristbal Guzmn |
| 2018 | ACSSC | Fairness and Delay in Heterogeneous Half- and Full-Duplex Wireless Networks. | Tingjun Chen, Jelena Diakonikolas, Javad Ghaderi, Gil Zussman |
| 2018 | ICML | On Acceleration with Noise-Corrupted Gradients. | Michael Cohen, Jelena Diakonikolas, Lorenzo Orecchia |
| 2018 | ICML | Alternating Randomized Block Coordinate Descent. | Jelena Diakonikolas, Lorenzo Orecchia |
| 2018 | INFOCOM | Hybrid Scheduling in Heterogeneous Half-and Full-Duplex Wireless Networks. | Tingjun Chen, Jelena Diakonikolas, Javad Ghaderi, Gil Zussman |
| 2017 | INFOCOM | Demo abstract: Full-duplex with a compact frequency domain equalization-based RF canceller. | Tingjun Chen, Jin Zhou, Mahmood Baraani Dastjerdi, Jelena Diakonikolas, Harish Krishnaswamy, Gil Zussman |