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
48.86/100
前 9.2%
全站排名 #5,893
发表论文10 篇
平均评分
年均产出5.0 篇/年
Saber Salehkaleybar
研究方向
Meta Learning · Stochatic Optimization · Reinforcement Learning · Causal Inference · Causal Discovery · Federated Learning
14
One Intervention per Component is Enough: Towards Identifiability in Linear Stochastic Dynamics from Steady State
ICLR 2026Rejected
一作12
ACTIVA: Amortized Causal Effect Estimation via Variational Autoencoders
ICLR 2026Rejected
二作23
Inference Time Causal Probing in LLMs
ICLR 2026Rejected
二作16
Fusing Rewards and Preferences in Reinforcement Learning
ICLR 2026Rejected
二作20
Near-Optimal Experiment Design in Linear non-Gaussian Cyclic Models
NeurIPS 2025Spotlight
二作9
Hierarchical Reinforcement Learning with Targeted Causal Interventions
ICML 2025Poster
二作10
Causal Effect Identification in lvLiNGAM from Higher-Order Cumulants
ICML 2025Poster
三作24
Soft Preference Optimization: Aligning Language Models to Expert Distributions
ICLR 2025Rejected
二作16
MetaOptimize: A Framework for Optimizing Step Sizes and Other Meta-parameters
ICLR 2025Rejected
二作13
MetaOptimize: A Framework for Optimizing Step Sizes and Other Meta-parameters
ICML 2025Poster
二作