Kamyar Azizzadenesheli
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
26
Venues
9
Active years
2016–2025
Best venue rank
A*
Where they publish
Papers
26 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | UAI | Off-policy Predictive Control with Causal Sensitivity Analysis. | Myrl G. Marmarelis, Ali Hasan, Kamyar Azizzadenesheli, R. Michael Alvarez, Anima Anandkumar |
| 2024 | AISTATS | Timing as an Action: Learning When to Observe and Act. | Helen Zhou, Audrey Huang, Kamyar Azizzadenesheli, David Childers, Zachary C. Lipton |
| 2024 | ICLR | Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo. | Haque Ishfaq, Qingfeng Lan, Pan Xu, A. Rupam Mahmood, Doina Precup, Anima Anandkumar, Kamyar Azizzadenesheli |
| 2024 | ICLR | Guaranteed Approximation Bounds for Mixed-Precision Neural Operators. | Renbo Tu, Colin White, Jean Kossaifi, Boris Bonev, Gennady Pekhimenko, Kamyar Azizzadenesheli, Anima Anandkumar |
| 2024 | ICML | Neural Operators with Localized Integral and Differential Kernels. | Miguel Liu-Schiaffini, Julius Berner, Boris Bonev, Thorsten Kurth, Kamyar Azizzadenesheli, Anima Anandkumar |
| 2024 | ICML | Equivariant Graph Neural Operator for Modeling 3D Dynamics. | Minkai Xu, Jiaqi Han, Aaron Lou, Jean Kossaifi, Arvind Ramanathan, Kamyar Azizzadenesheli, Jure Leskovec, Stefano Ermon, Anima Anandkumar |
| 2023 | ICML | Competitive Gradient Optimization. | Abhijeet Vyas, Brian Bullins, Kamyar Azizzadenesheli |
| 2023 | ICML | Fast Sampling of Diffusion Models via Operator Learning. | Hongkai Zheng, Weili Nie, Arash Vahdat, Kamyar Azizzadenesheli, Anima Anandkumar |
| 2022 | AISTATS | Off-Policy Risk Assessment for Markov Decision Processes. | Audrey Huang, Liu Leqi, Zachary C. Lipton, Kamyar Azizzadenesheli |
| 2022 | AISTATS | Reinforcement Learning with Fast Stabilization in Linear Dynamical Systems. | Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Animashree Anandkumar |
| 2022 | COLT | Thompson Sampling Achieves $\tilde{O}(\sqrt{T})$ Regret in Linear Quadratic Control. | Taylan Kargin, Sahin Lale, Kamyar Azizzadenesheli, Animashree Anandkumar, Babak Hassibi |
| 2022 | ICML | Langevin Monte Carlo for Contextual Bandits. | Pan Xu, Hongkai Zheng, Eric V. Mazumdar, Kamyar Azizzadenesheli, Animashree Anandkumar |
| 2022 | ICML | Supervised Learning with General Risk Functionals. | Liu Leqi, Audrey Huang, Zachary C. Lipton, Kamyar Azizzadenesheli |
| 2021 | AAAI | Deep Bayesian Quadrature Policy Optimization. | Ravi Tej Akella, Kamyar Azizzadenesheli, Mohammad Ghavamzadeh, Animashree Anandkumar, Yisong Yue |
| 2021 | ICLR | Fourier Neural Operator for Parametric Partial Differential Equations. | Zongyi Li, Nikola Borislavov Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar |
| 2021 | UAI | Competitive policy optimization. | Manish Prajapat, Kamyar Azizzadenesheli, Alexander Liniger, Yisong Yue, Anima Anandkumar |
| 2020 | SC | MeshfreeFlowNet: a physics-constrained deep continuous space-time super-resolution framework. | Chiyu Max Jiang, Soheil Esmaeilzadeh, Kamyar Azizzadenesheli, Karthik Kashinath, Mustafa Mustafa, Hamdi A. Tchelepi, Philip Marcus, Prabhat, Anima Anandkumar |
| 2019 | ICLR | Regularized Learning for Domain Adaptation under Label Shifts. | Kamyar Azizzadenesheli, Anqi Liu, Fanny Yang, Animashree Anandkumar |
| 2019 | ICLR | signSGD with Majority Vote is Communication Efficient and Fault Tolerant. | Jeremy Bernstein, Jiawei Zhao, Kamyar Azizzadenesheli, Anima Anandkumar |
| 2019 | ICRA | Neural Lander: Stable Drone Landing Control Using Learned Dynamics. | Guanya Shi, Xichen Shi, Michael O'Connell, Rose Yu, Kamyar Azizzadenesheli, Animashree Anandkumar, Yisong Yue, Soon-Jo Chung |
| 2018 | ICLR | Compression by the signs: distributed learning is a two-way street. | Jeremy Bernstein, Yu-Xiang Wang, Kamyar Azizzadenesheli, Anima Anandkumar |
| 2018 | ICLR | Stochastic Activation Pruning for Robust Adversarial Defense. | Guneet S. Dhillon, Kamyar Azizzadenesheli, Zachary C. Lipton, Jeremy Bernstein, Jean Kossaifi, Aran Khanna, Animashree Anandkumar |
| 2018 | ICML | SIGNSGD: Compressed Optimisation for Non-Convex Problems. | Jeremy Bernstein, Yu-Xiang Wang, Kamyar Azizzadenesheli, Animashree Anandkumar |
| 2018 | ITA | Efficient Exploration Through Bayesian Deep Q-Networks. | Kamyar Azizzadenesheli, Emma Brunskill, Animashree Anandkumar |
| 2016 | COLT | Reinforcement Learning of POMDPs using Spectral Methods. | Kamyar Azizzadenesheli, Alessandro Lazaric, Animashree Anandkumar |
| 2016 | COLT | Open Problem: Approximate Planning of POMDPs in the class of Memoryless Policies. | Kamyar Azizzadenesheli, Alessandro Lazaric, Animashree Anandkumar |