Vincent Tan
22 papers · 2011–2025 · 4 venues · across top CS/AI venues
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Achievements
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Renaissance Researcher
(7)
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Keyword Collector
(110)
Venues
Top co-authors
Research topics
Machine Learning
(17)
Optimization & Theory
(16)
Mathematics & Optimization
(8)
Learning Types Β· Machine Learning
(8)
Artificial Intelligence
(6)
Deep Learning
(6)
Core Methods
(5)
Optimization
(5)
Reinforcement Learning
(4)
Core AI
(4)
Methods
(4)
Mathematics
(3)
Architectures
(2)
Learning Paradigms
(2)
Learning Types Β· Deep Learning
(2)
Keywords
best arm identification
(4)
ising model
(2)
generalization error
(2)
linear bandit
(2)
robust estimation
(2)
sharpness-aware minimization
(2)
thompson sampling
(2)
adversarial robustness
(2)
regret bound
(2)
gaussian graphical model
(2)
stochastic gradient descent
(2)
multi-armed bandit
(2)
cascading bandit
(2)
feature selection
(1)
structure learning
(1)
sample efficiency
(1)
probabilistic algorithms
(1)
online learning
(1)
differential privacy
(1)
off-policy evaluation
(1)
Papers
BanditSpec: Adaptive Speculative Decoding via Bandit Algorithms
ICML 2025
LightningDrag: Lightning Fast and Accurate Drag-based Image Editing Emerging from Videos
ICML 2025
Log-Sum-Exponential Estimator for Off-Policy Evaluation and Learning
ICML 2025
AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models
ICLR 2024
Fixed-Budget Differentially Private Best Arm Identification
ICLR 2024
Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes
ICLR 2024
Learning Regularized Monotone Graphon Mean-Field Games
NeurIPS 2023
Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning
ICLR 2023
Efficient Sharpness-aware Minimization for Improved Training of Neural Networks
ICLR 2022
Minimax Optimal Fixed-Budget Best Arm Identification in Linear Bandits
NeurIPS 2022
Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL
NeurIPS 2022
Sharpness-Aware Training for Free
NeurIPS 2022
CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection
ICML 2021
Probabilistic Sequential Shrinking: A Best Arm Identification Algorithm for Stochastic Bandits with Corruptions
ICML 2021
Robustifying Algorithms of Learning Latent Trees with Vector Variables
NeurIPS 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
NeurIPS 2011