影响力指数
论文质量、代表作、近期表现、广度与样本量置信度综合计算
90.31/100
前 0.5%
全站排名 #354
发表论文17 篇
平均评分
年均产出8.5 篇/年
Ilias Diakonikolas
研究方向
PAC Learning · Hypothesis Testing · Non-Parametric Estimation · Robust Statistics · Theoretical Machine Learning · Adversarial Robustness · Theory of Neural Networks
17
Replicable Distribution Testing
NeurIPS 2025Spotlight
一作20
Algorithms and SQ Lower Bounds for Robustly Learning Real-valued Multi-Index Models
NeurIPS 2025Spotlight
一作8
Statistical Query Hardness of Multiclass Linear Classification with Random Classification Noise
ICML 2025Oral
一作9
On Learning Parallel Pancakes with Mostly Uniform Weights
ICML 2025Spotlight
一作14
Robustly Learning Monotone Single-Index Models
NeurIPS 2025Poster
三作14
Robust Regression of General ReLUs with Queries
NeurIPS 2025Poster
一作15
Information-Computation Tradeoffs for Noiseless Linear Regression with Oblivious Contamination
NeurIPS 2025Poster
一作11
Efficient Multivariate Robust Mean Estimation Under Mean-Shift Contamination
ICML 2025Poster
一作11
Batch List-Decodable Linear Regression via Higher Moments
ICML 2025Poster
一作11
On Fine-Grained Distinct Element Estimation
ICML 2025Poster
一作9
Online Linear Classification with Massart Noise
ICML 2025Poster
一作14
Reliable Learning of Halfspaces under Gaussian Marginals
NeurIPS 2024Spotlight
一作16
A Near-optimal Algorithm for Learning Margin Halfspaces with Massart Noise
NeurIPS 2024Spotlight
一作18
How Does Unlabeled Data Provably Help Out-of-Distribution Detection?
ICLR 2024Poster
三作17
Active Learning of General Halfspaces: Label Queries vs Membership Queries
NeurIPS 2024Poster
一作14
Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise
NeurIPS 2024Poster
三作13
Sample and Computationally Efficient Robust Learning of Gaussian Single-Index Models
NeurIPS 2024Poster
三作