Vincent Tan
22 papers · 2011–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (4) 🏃 Academic Marathon (14) 🐝 Cross-Pollinator (7)
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Interdisciplinary Bridge
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Conference Polyglot
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Academic Marathon
(14)
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(22)
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Conferences
ICML (8)
ICLR (6)
NIPS (6)
AISTATS (2)
Top co-authors
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