Simon S Du
39 papers · 2016–2024 · 2 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 10 separate collaboration groups - the largest holds only 44% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.
Which Simon S Du?
3 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Ruosong Wang, Ruslan Salakhutdinov, Barnabás Póczos
17 papers
· 2016–2023
· NeurIPS
Hide ▲
Optimal Extragradient-Based Algorithms for Stochastic Variational Inequalities with Separable Structure
NeurIPS 2023
Agnostic Q-learning with Function Approximation in Deterministic Systems: Near-Optimal Bounds on Approximation Error and Sample Complexity
NeurIPS 2020
Is Long Horizon RL More Difficult Than Short Horizon RL?
NeurIPS 2020
On Reward-Free Reinforcement Learning with Linear Function Approximation
NeurIPS 2020
Over-parameterized Adversarial Training: An Analysis Overcoming the Curse of Dimensionality
NeurIPS 2020
Planning with General Objective Functions: Going Beyond Total Rewards
NeurIPS 2020
Provably Efficient Exploration for Reinforcement Learning Using Unsupervised Learning
NeurIPS 2020
Acceleration via Symplectic Discretization of High-Resolution Differential Equations
NeurIPS 2019
Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels
NeurIPS 2019
On Exact Computation with an Infinitely Wide Neural Net
NeurIPS 2019
Provably Efficient Q-learning with Function Approximation via Distribution Shift Error Checking Oracle
NeurIPS 2019
Algorithmic Regularization in Learning Deep Homogeneous Models: Layers are Automatically Balanced
NeurIPS 2018
How Many Samples are Needed to Estimate a Convolutional Neural Network?
NeurIPS 2018
Gradient Descent Can Take Exponential Time to Escape Saddle Points
NeurIPS 2017
Hypothesis Transfer Learning via Transformation Functions
NeurIPS 2017
On the Power of Truncated SVD for General High-rank Matrix Estimation Problems
NeurIPS 2017
Efficient Nonparametric Smoothness Estimation
NeurIPS 2016
7 papers whose co-authors appear nowhere else under this name
A Reduction-based Framework for Sequential Decision Making with Delayed Feedback
NeurIPS 2023
Scan and Snap: Understanding Training Dynamics and Token Composition in 1-layer Transformer
NeurIPS 2023
Provable General Function Class Representation Learning in Multitask Bandits and MDP
NeurIPS 2022
Global Convergence of Gradient Descent for Asymmetric Low-Rank Matrix Factorization
NeurIPS 2021
Nearly Horizon-Free Offline Reinforcement Learning
NeurIPS 2021
Stochastic Shortest Path: Minimax, Parameter-Free and Towards Horizon-Free Regret
NeurIPS 2021
Towards Understanding the Importance of Shortcut Connections in Residual Networks
NeurIPS 2019