Qiuyi Zhang
11 papers · 2019–2025 · 5 venues · across top CS/AI venues
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Research topics
Machine Learning
(9)
Optimization & Theory
(7)
Artificial Intelligence
(5)
Core AI
(4)
Computer Science
(3)
Deep Learning
(3)
Mathematics & Optimization
(3)
Foundations
(3)
Learning Types Β· Machine Learning
(3)
Optimization
(3)
Architectures
(2)
Learning Paradigms
(2)
Core Methods
(1)
Learning Types Β· Deep Learning
(1)
Mathematics
(1)
Keywords
representation learning
(2)
empirical risk minimization
(2)
compressed sensing
(1)
feature learning
(1)
convex optimization
(1)
model calibration
(1)
knowledge distillation
(1)
online optimization
(1)
language model alignment
(1)
computational complexity
(1)
class imbalance
(1)
reinforcement learning from human feedback
(1)
direct preference optimization
(1)
regret minimization
(1)
multi-task learning
(1)
linear programming
(1)
linear regression
(1)
kernel density estimation
(1)
strongly convex objectives
(1)
dimensionality reduction
(1)
Papers
Beyond Worst-Case Dimensionality Reduction for Sparse Vectors
ICLR 2025
Quantifying Knowledge Distillation using Partial Information Decomposition
AISTATS 2025
Adaptive Regret for Bandits Made Possible: Two Queries Suffice
ICLR 2024
Preference Learning Algorithms Do Not Learn Preference Rankings
NeurIPS 2024
Set Learning for Accurate and Calibrated Models
ICLR 2024
Robust Algorithms on Adaptive Inputs from Bounded Adversaries
ICLR 2023
Leveraging Initial Hints for Free in Stochastic Linear Bandits
ALT 2022
One Network Fits All? Modular versus Monolithic Task Formulations in Neural Networks
ICLR 2021
Gradientless Descent: High-Dimensional Zeroth-Order Optimization
ICLR 2020
Span Recovery for Deep Neural Networks with Applications to Input Obfuscation
ICLR 2020
Solving Empirical Risk Minimization in the Current Matrix Multiplication Time
COLT 2019