Ruida Zhou
17 papers · 2018–2025 · 5 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (42) π Academic Marathon Β· Sprint π£ Hot Topic Early Bird
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(5)
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Century Club Β· Bronze
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Keyword Collector
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Research topics
Machine Learning
(15)
Optimization & Theory
(11)
Learning Types
(9)
Artificial Intelligence
(8)
Core AI
(6)
Mathematics & Optimization
(5)
Reinforcement Learning
(5)
Methods
(5)
Optimization
(5)
Learning Paradigms
(2)
Computer Vision
(1)
Deep Learning
(1)
Natural Language Processing
(1)
Analysis
(1)
Application Areas
(1)
Keywords
regret bound
(5)
multi-armed bandit
(4)
in-context learning
(3)
sample complexity
(3)
natural policy gradient
(3)
gradient descent
(2)
markov potential game
(2)
upper confidence bound
(2)
multi-agent system
(2)
online learning
(2)
federated learning
(2)
nash equilibrium
(2)
sparse recovery
(1)
model robustness
(1)
function approximation
(1)
multi-agent reinforcement learning
(1)
unsupervised learning
(1)
robust reinforcement learning
(1)
policy evaluation
(1)
dimensionality reduction
(1)
Papers
ADEPT: Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning
AISTATS 2025
Cost-Aware Optimal Pairwise Pure Exploration
AISTATS 2025
Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning
ICLR 2025
On the Learn-to-Optimize Capabilities of Transformers in In-Context Sparse Recovery
ICLR 2025
On the Training Convergence of Transformers for In-Context Classification of Gaussian Mixtures
ICML 2025
Latent 3D Graph Diffusion
ICLR 2024
Path-Guided Particle-based Sampling
ICML 2024
Provable Policy Gradient Methods for Average-Reward Markov Potential Games
AISTATS 2024
Federated Linear Bandits with Finite Adversarial Actions
NeurIPS 2023
Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation
NeurIPS 2023
Provably Fast Convergence of Independent Natural Policy Gradient for Markov Potential Games
NeurIPS 2023
Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning
NeurIPS 2022
Approximate Top-m Arm Identification with Heterogeneous Reward Variances
AISTATS 2022
Learning from Few Samples: Transformation-Invariant SVMs with Composition and Locality at Multiple Scales
NeurIPS 2022
Learning Policies with Zero or Bounded Constraint Violation for Constrained MDPs
NeurIPS 2021
Cost-aware Cascading Bandits
IJCAI 2018
Regional Multi-Armed Bandits
AISTATS 2018