Vincent Tan

22 papers · 2011–2025 · 4 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🐝 Cross-Pollinator (7) 🌈 Renaissance Researcher (6) 🗺️ Taxonomy Completionist (35) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (4) 🏃 Academic Marathon (14) 💎 Century Club (22) 📈 Trend Setter 🗃️ Keyword Collector (67) 🔥 Unstoppable (7)

Conferences

ICML (8) ICLR (6) NIPS (6) AISTATS (2)

Top co-authors

Jiashi Feng (6) Hanshu Yan (5) Fengzhuo Zhang (4) Wang Chi Cheung (3) Zixin Zhong (3) JIAWEI DU (3) Zhuoran Yang (3) Jiachun Pan (2) Yujun Shi (2) Zhaoran Wang (2)

Keywords

best arm identification (3) gaussian graphical model (2) robust estimation (2) ising model (2) thompson sampling (2) multi-armed bandit (2) cascading bandit (2) structure learning (1) probabilistic algorithms (1) stochastic gradient descent (1) channel attention (1) adversarial training (1) sharpness-aware minimization (1) loss landscape (1) minimax optimality (1) sample complexity (1) online learning (1) relational reasoning (1) nash equilibrium (1) document clustering (1)

Papers

Log-Sum-Exponential Estimator for Off-Policy Evaluation and Learning ICML 2025

LightningDrag: Lightning Fast and Accurate Drag-based Image Editing Emerging from Videos ICML 2025

BanditSpec: Adaptive Speculative Decoding via Bandit Algorithms ICML 2025

Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes ICLR 2024

Fixed-Budget Differentially Private Best Arm Identification ICLR 2024

AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models ICLR 2024

Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning ICLR 2023

Learning Regularized Monotone Graphon Mean-Field Games NIPS 2023

Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL NIPS 2022

Efficient Sharpness-aware Minimization for Improved Training of Neural Networks ICLR 2022

Minimax Optimal Fixed-Budget Best Arm Identification in Linear Bandits NIPS 2022

Sharpness-Aware Training for Free NIPS 2022

CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection ICML 2021

Robustifying Algorithms of Learning Latent Trees with Vector Variables NIPS 2021

Probabilistic Sequential Shrinking: A Best Arm Identification Algorithm for Stochastic Bandits with Corruptions ICML 2021

SGA: A Robust Algorithm for Partial Recovery of Tree-Structured Graphical Models with Noisy Samples ICML 2021

Best Arm Identification for Cascading Bandits in the Fixed Confidence Setting ICML 2020

On Robustness of Neural Ordinary Differential Equations ICLR 2020

Thompson Sampling Algorithms for Mean-Variance Bandits ICML 2020

A Thompson Sampling Algorithm for Cascading Bandits AISTATS 2019

Online Nonnegative Matrix Factorization with General Divergences AISTATS 2017

High-Dimensional Graphical Model Selection: Tractable Graph Families and Necessary Conditions NIPS 2011