Sharan Vaswani
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
4
Active years
2013–2025
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AISTATS | Fast Convergence of Softmax Policy Mirror Ascent. | Reza Asad, Reza Babanezhad Harikandeh, Issam H. Laradji, Nicolas Le Roux, Sharan Vaswani |
| 2025 | ICML | Armijo Line-search Can Make (Stochastic) Gradient Descent Provably Faster. | Sharan Vaswani, Reza Babanezhad Harikandeh |
| 2024 | ICML | From Inverse Optimization to Feasibility to ERM. | Saurabh Mishra, Anant Raj, Sharan Vaswani |
| 2023 | ICML | Target-based Surrogates for Stochastic Optimization. | Jonathan Wilder Lavington, Sharan Vaswani, Reza Babanezhad Harikandeh, Mark Schmidt, Nicolas Le Roux |
| 2022 | AISTATS | A general class of surrogate functions for stable and efficient reinforcement learning. | Sharan Vaswani, Olivier Bachem, Simone Totaro, Robert Mller, Shivam Garg, Matthieu Geist, Marlos C. Machado, Pablo Samuel Castro, Nicolas Le Roux |
| 2022 | ICML | Towards Noise-adaptive, Problem-adaptive (Accelerated) Stochastic Gradient Descent. | Sharan Vaswani, Benjamin Dubois-Taine, Reza Babanezhad |
| 2022 | UAI | Towards painless policy optimization for constrained MDPs. | Arushi Jain, Sharan Vaswani, Reza Babanezhad, Csaba Szepesvari, Doina Precup |
| 2021 | AISTATS | Stochastic Polyak Step-size for SGD: An Adaptive Learning Rate for Fast Convergence. | Nicolas Loizou, Sharan Vaswani, Issam Hadj Laradji, Simon Lacoste-Julien |
| 2020 | AISTATS | Fast and Furious Convergence: Stochastic Second Order Methods under Interpolation. | Si Yi Meng, Sharan Vaswani, Issam Hadj Laradji, Mark Schmidt, Simon Lacoste-Julien |
| 2020 | AISTATS | Old Dog Learns New Tricks: Randomized UCB for Bandit Problems. | Sharan Vaswani, Abbas Mehrabian, Audrey Durand, Branislav Kveton |
| 2019 | AISTATS | Fast and Faster Convergence of SGD for Over-Parameterized Models and an Accelerated Perceptron. | Sharan Vaswani, Francis R. Bach, Mark Schmidt |
| 2019 | ICML | Garbage In, Reward Out: Bootstrapping Exploration in Multi-Armed Bandits. | Branislav Kveton, Csaba Szepesvri, Sharan Vaswani, Zheng Wen, Tor Lattimore, Mohammad Ghavamzadeh |
| 2017 | AISTATS | Horde of Bandits using Gaussian Markov Random Fields. | Sharan Vaswani, Mark Schmidt, Laks V. S. Lakshmanan |
| 2017 | ICML | Model-Independent Online Learning for Influence Maximization. | Sharan Vaswani, Branislav Kveton, Zheng Wen, Mohammad Ghavamzadeh, Laks V. S. Lakshmanan, Mark Schmidt |
| 2013 | HiPC | Performance evaluation of medical imaging algorithms on Intel | Jyotsna Khemka, Mrugesh R. Gajjar, Sharan Vaswani, Naga Vydyanathan, Rama Malladi, Vinutha S. V |