Xingyou Song
14 papers · 2020–2025 · 5 venues · across top CS/AI venues
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Research topics
Machine Learning
(13)
Optimization & Theory
(10)
Artificial Intelligence
(7)
Deep Learning
(4)
Core AI
(4)
Learning Paradigms
(4)
Mathematics & Optimization
(3)
Architectures
(3)
Learning Types
(3)
Reinforcement Learning
(2)
Core Methods
(2)
Mathematics
(2)
Methods
(2)
Optimization
(2)
Natural Language Processing
(1)
Keywords
orthogonal group
(2)
evolution strategies
(2)
black-box optimization
(2)
reinforcement learning
(1)
self-attention mechanism
(1)
neural architecture search
(1)
benchmark evaluation
(1)
policy gradient
(1)
hyperparameter optimization
(1)
mathematical reasoning
(1)
theorem proving
(1)
attention mechanism
(1)
gaussian process
(1)
low-rank approximation
(1)
markov decision process
(1)
transfer learning
(1)
strongly convex objectives
(1)
hyperparameter tuning
(1)
geometric optimization
(1)
stochastic gradient descent
(1)
Papers
Towards Robust Mathematical Reasoning
EMNLP 2025
Position: Leverage Foundational Models for Black-Box Optimization
ICML 2024
Hardness of Low Rank Approximation of Entrywise Transformed Matrix Products
NeurIPS 2023
Differentiable Architecture Search for Reinforcement Learning
AutoML 2022
Open Source Vizier: Distributed Infrastructure and API for Reliable and Flexible Blackbox Optimization
AutoML 2022
Towards Learning Universal Hyperparameter Optimizers with Transformers
NeurIPS 2022
Debiasing a First-order Heuristic for Approximate Bi-level Optimization
ICML 2021
Rethinking Attention with Performers
ICLR 2021
Sub-Linear Memory: How to Make Performers SLiM
NeurIPS 2021
ES-MAML: Simple Hessian-Free Meta Learning
ICLR 2020
Gradientless Descent: High-Dimensional Zeroth-Order Optimization
ICLR 2020
Observational Overfitting in Reinforcement Learning
ICLR 2020
Ode to an ODE
NeurIPS 2020
Stochastic Flows and Geometric Optimization on the Orthogonal Group
ICML 2020