Stephane Gaiffas
12 papers · 2011–2023 · 2 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (2) πΊοΈ Taxonomy Completionist (12) π§ Keyword Pioneer π Interdisciplinary Bridge π Academic Marathon (12)
π§
Keyword Pioneer
π
Conference Polyglot
(2)
π
Academic Marathon
(12)
π
Trend Setter
π
Century Club
(12)
ποΈ
Keyword Collector
(70)
Conferences
JMLR (9)
NIPS (3)
Top co-authors
Keywords
sparse regression
(2)
generalized linear model
(2)
proximal method
(2)
link prediction
(2)
online learning
(2)
graph analysis
(2)
autoregressive model
(2)
hawkes process
(2)
time series
(2)
model selection
(1)
robust statistics
(1)
statistical consistency
(1)
sample complexity
(1)
sparse estimation
(1)
sparse recovery
(1)
feature selection
(1)
density estimation
(1)
adversarial learning
(1)
outlier detection
(1)
low-rank approximation
(1)
Papers
Online Inventory Problems: Beyond the i.i.d. Setting with Online Convex Optimization
NIPS 2023
Robust Methods for High-Dimensional Linear Learning
JMLR 2023
An Improper Estimator with Optimal Excess Risk in Misspecified Density Estimation and Logistic Regression
JMLR 2022
Sparse and low-rank multivariate Hawkes processes
JMLR 2020
Binarsity: a penalization for one-hot encoded features in linear supervised learning
JMLR 2019
On the optimality of the Hedge algorithm in the stochastic regime
JMLR 2019
tick: a Python Library for Statistical Learning, with an emphasis on Hawkes Processes and Time-Dependent Models
JMLR 2018
Uncovering Causality from Multivariate Hawkes Integrated Cumulants
JMLR 2018
Universal consistency and minimax rates for online Mondrian Forests
NIPS 2017
Link Prediction in Graphs with Autoregressive Features
JMLR 2014
Link Prediction in Graphs with Autoregressive Features
NIPS 2012
Hyper-Sparse Optimal Aggregation
JMLR 2011