Xingyou Song
14 papers · 2020–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (5) π Conference Polyglot (5) π Interdisciplinary Bridge π£ Hot Topic Early Bird π Cross-Pollinator (10)
πΊοΈ
Taxonomy Completionist
(19)
π
Interdisciplinary Bridge
π£
Hot Topic Early Bird
π
Triple Crown
π₯
Mega-Team
(20)
β‘
Prolific Year
(5)
π
Century Club
(14)
π₯
Unstoppable
(6)
Conferences
ICLR (4)
NIPS (4)
ICML (3)
AUTOML (2)
EMNLP (1)
Top co-authors
Keywords
orthogonal group
(2)
stochastic gradient descent
(1)
memory efficiency
(1)
self-attention mechanism
(1)
transfer learning
(1)
hyperparameter optimization
(1)
mathematical reasoning
(1)
theorem proving
(1)
neural architecture search
(1)
gaussian process
(1)
low rank approximation
(1)
hyperparameter tuning
(1)
geometric optimization
(1)
memory complexity
(1)
benchmark evaluation
(1)
neural ordinary differential equation
(1)
normalizing flow
(1)
gradient flow
(1)
lie group
(1)
reinforcement learning
(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
NIPS 2023
Open Source Vizier: Distributed Infrastructure and API for Reliable and Flexible Blackbox Optimization
AUTOML 2022
Differentiable Architecture Search for Reinforcement Learning
AUTOML 2022
Towards Learning Universal Hyperparameter Optimizers with Transformers
NIPS 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
NIPS 2021
Gradientless Descent: High-Dimensional Zeroth-Order Optimization
ICLR 2020
Ode to an ODE
NIPS 2020
ES-MAML: Simple Hessian-Free Meta Learning
ICLR 2020
Observational Overfitting in Reinforcement Learning
ICLR 2020
Stochastic Flows and Geometric Optimization on the Orthogonal Group
ICML 2020