conftrace_
← Authors

Kamyar Azizzadenesheli

34 papers · 2016–2026 · 10 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+14 more ↓ πŸ—ΊοΈ Taxonomy Completionist (17) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (5) 🐣 Hot Topic Early Bird
🐣 Hot Topic Early Bird 🌍 Conference Polyglot (9) 🌈 Renaissance Researcher (5) 🧬 Topic Evolution πŸ† Keyword Champion (2) 🀝 Dynamic Duo (16) πŸ† Grand Slam πŸ‘‘ Triple Crown πŸ—ƒοΈ Keyword Collector (121) ⚑ Prolific Year (6) πŸš€ Conference Pioneer πŸ’Ž Century Club (33) πŸ”₯ Unstoppable (8) πŸ“ˆ Trend Setter

Conferences

ICML (7) NIPS (7) ICLR (6) AISTATS (3) COLT (3) JMLR (3) UAI (2) AAAI (1) ALT (1) L4DC (1)

Top co-authors

Anima Anandkumar (16) Animashree Anandkumar (10) Jean Kossaifi (6) Zongyi Li (6) Zachary Lipton (4) Kaushik Bhattacharya (4) Audrey Huang (4) Sahin Lale (4) Babak Hassibi (4) Andrew Stuart (4)

Research topics

Reinforcement Learning (1)

Keywords

regret bound (7) adaptive control (4) partial differential equation (3) conditional value at risk (2) linear dynamical system (2) fourier neural operator (2) contextual bandit (2) model-based reinforcement learning (2) distributed optimization (2) diffusion model (2) risk assessment (2) neural operator (2) doubly robust estimator (2) cumulative distribution function (2) off-policy evaluation (2) function space (2) system identification (2) partially observable markov decision process (2) thompson sampling (2) graph neural network (2)

Papers

Reward Selection with Noisy Observations ALT 2026 Score-Based Diffusion Models in Function Space JMLR 2025 Off-policy Predictive Control with Causal Sensitivity Analysis UAI 2025 Guaranteed Approximation Bounds for Mixed-Precision Neural Operators ICLR 2024 Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs NIPS 2024 Timing as an Action: Learning When to Observe and Act AISTATS 2024 Equivariant Graph Neural Operator for Modeling 3D Dynamics ICML 2024 Neural Operators with Localized Integral and Differential Kernels ICML 2024 Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo ICLR 2024 Geometry-Informed Neural Operator for Large-Scale 3D PDEs NIPS 2023 Neural Operator: Learning Maps Between Function Spaces With Applications to PDEs JMLR 2023 Competitive Gradient Optimization ICML 2023 Fast Sampling of Diffusion Models via Operator Learning ICML 2023 Learning Chaotic Dynamics in Dissipative Systems NIPS 2022 Multi-Agent Multi-Armed Bandits with Limited Communication JMLR 2022 Reinforcement Learning with Fast Stabilization in Linear Dynamical Systems AISTATS 2022 Off-Policy Risk Assessment for Markov Decision Processes AISTATS 2022 Langevin Monte Carlo for Contextual Bandits ICML 2022 Supervised Learning with General Risk Functionals ICML 2022 Thompson Sampling Achieves $\tilde{O}(\sqrt{T})$ Regret in Linear Quadratic Control COLT 2022 Fourier Neural Operator for Parametric Partial Differential Equations ICLR 2021 Meta-Adaptive Nonlinear Control: Theory and Algorithms NIPS 2021 Off-Policy Risk Assessment in Contextual Bandits NIPS 2021 Deep Bayesian Quadrature Policy Optimization AAAI 2021 Finite-time System Identification and Adaptive Control in Autoregressive Exogenous Systems L4DC 2021 Competitive policy optimization UAI 2021 Multipole Graph Neural Operator for Parametric Partial Differential Equations NIPS 2020 Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems NIPS 2020 signSGD with Majority Vote is Communication Efficient and Fault Tolerant ICLR 2019 Regularized Learning for Domain Adaptation under Label Shifts ICLR 2019 signSGD: Compressed Optimisation for Non-Convex Problems ICML 2018 Stochastic Activation Pruning for Robust Adversarial Defense ICLR 2018 Open Problem: Approximate Planning of POMDPs in the class of Memoryless Policies COLT 2016 Reinforcement Learning of POMDPs using Spectral Methods COLT 2016