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
94.75/100
前 0.3%
全站排名 #177
发表论文29 篇
平均评分
年均产出9.7 篇/年
AI 学术分析
Eric Moulines
研究方向
Conformal prediction · Federated learning · Diffusion models · Reinforcement learning · stochastic approximation · Markov chain Monte Carlo · Matrix · tensor completion · Time series · hidden Markov Models
发表论文(29 篇)
14
ICLR 2026Poster
三作15
ICLR 2026Poster
16
ICLR 2026Rejected
18
ICLR 2026Rejected
34
ICLR 2026Poster
通讯18
Beyond Softmax and Entropy: Convergence Rates of Policy Gradients with $\boldsymbol{f}$-SoftArgmax Parameterization $&$ Coupled Regularization
ICLR 2026Poster
通讯15
ICLR 2026Rejected
29
ICLR 2026withdrawn
11
ICLR 2026Rejected
通讯