← Authors

Cong Shen

35 papers · 2018–2025 · 10 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (7) 🐝 Cross-Pollinator (12) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (6) 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (47) 🌍 Conference Polyglot (10) 🀝 Dynamic Duo (16) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ”₯ Unstoppable (6) πŸ’Ž Century Club (35) ⚑ Prolific Year (7) πŸ—ƒοΈ Keyword Collector (110)

Conferences

AISTATS (9) ICML (8) NIPS (8) ICLR (3) EMNLP (2) AAAI (1) ACL (1) IJCAI (1) MICCAI (1) UAI (1)

Top co-authors

Jing Yang (16) Chengshuai Shi (14) Ruida Zhou (7) Zihan Chen (7) Jundong Li (7) Wei Xiong (6) Song Wang (5) Hyun-Suk Lee (3) Renpu Liu (3) Ruiquan Huang (3)

Keywords

regret bound (10) multi-armed bandit (8) federated learning (5) upper confidence bound (5) in-context learning (5) zero-sum game (2) clinical trial (2) multi-player multi-armed bandit (2) safety constraint (2) linear bandit (2) markov game (2) decentralized learning (2) few-shot learning (2) maximum tolerated dose (2) best arm identification (2) contextual bandit (2) linear contextual bandit (2) prompt engineering (1) reinforcement learning (1) uncertainty quantification (1)

Papers

Augmenting Online RL with Offline Data is All You Need: A Unified Hybrid RL Algorithm Design and Analysis UAI 2025
A Shared Low-Rank Adaptation Approach to Personalized RLHF AISTATS 2025
Cost-Aware Optimal Pairwise Pure Exploration AISTATS 2025
Separate the Wheat from the Chaff: Winnowing Down Divergent Views in Retrieval Augmented Generation EMNLP 2025
From Cross-Task Examples to In-Task Prompts: A Graph-Based Pseudo-Labeling Framework for In-context Learning EMNLP 2025
On the Learn-to-Optimize Capabilities of Transformers in In-Context Sparse Recovery ICLR 2025
Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning ICLR 2025
MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning ICML 2025
On the Training Convergence of Transformers for In-Context Classification of Gaussian Mixtures ICML 2025
DCT-Net: Dual-branch CT Reconstruction from Orthogonal X-rays with Diffusion Model and Contrastive Learning MICCAI 2025
FastGAS: Fast Graph-based Annotation Selection for In-Context Learning ACL 2024
Transformers as Game Players: Provable In-context Game-playing Capabilities of Pre-trained Models NIPS 2024
Federated Representation Learning in the Under-Parameterized Regime ICML 2024
Efficient Prompt Optimization Through the Lens of Best Arm Identification NIPS 2024
Mixture of Demonstrations for In-Context Learning NIPS 2024
Verification of Machine Unlearning is Fragile ICML 2024
Stochastic Smoothed Gradient Descent Ascent for Federated Minimax Optimization AISTATS 2024
Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game ICLR 2023
Near-optimal Conservative Exploration in Reinforcement Learning under Episode-wise Constraints ICML 2023
Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources ICML 2023
Federated Linear Bandits with Finite Adversarial Actions NIPS 2023
A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games ICML 2022
SDF-Bayes: Cautious Optimism in Safe Dose-Finding Clinical Trials with Drug Combinations and Heterogeneous Patient Groups AISTATS 2021
(Almost) Free Incentivized Exploration from Decentralized Learning Agents NIPS 2021
Heterogeneous Multi-player Multi-armed Bandits: Closing the Gap and Generalization NIPS 2021
Federated Linear Contextual Bandits NIPS 2021
Federated Multi-armed Bandits with Personalization AISTATS 2021
Federated Multi-Armed Bandits AAAI 2021
Robust Recursive Partitioning for Heterogeneous Treatment Effects with Uncertainty Quantification NIPS 2020
Learning for Dose Allocation in Adaptive Clinical Trials with Safety Constraints ICML 2020
Decentralized Multi-player Multi-armed Bandits with No Collision Information AISTATS 2020
Contextual Constrained Learning for Dose-Finding Clinical Trials AISTATS 2020
Stochastic Linear Contextual Bandits with Diverse Contexts AISTATS 2020
Cost-aware Cascading Bandits IJCAI 2018
Regional Multi-Armed Bandits AISTATS 2018