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Kamyar Azizzadenesheli

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

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

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+9 more ↓ πŸ—ΊοΈ Taxonomy Completionist (69) 🌍 Conference Polyglot Β· Gold πŸƒ Academic Marathon Β· Half πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ† Grand Slam 🀝 Dynamic Duo (16) πŸ‘‘ Triple Crown ⚑ Prolific Year Β· Productive πŸ”₯ Unstoppable Β· Bronze πŸ’Ž Century Club Β· Bronze πŸš€ Conference Pioneer 🌈 Renaissance Researcher (6) πŸ—ƒοΈ Keyword Collector (161)

Papers

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