Philippe Rigollet
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Papers (37)
- Scaling Limits of Long-Context Transformers cs.LG · 2026 · author #5
- Quantitative Clustering in Mean-Field Transformer Models cs.LG · 2025 · author #4
- Estimation Rates for Sparse Linear Cyclic Causal Models math.ST · 2019 · author #2
- Estimation of Monge Matrices math.ST · 2019 · author #3
- Entropic optimal transport is maximum-likelihood deconvolution math.ST · 2018 · author #1
- Uncoupled isotonic regression via minimum Wasserstein deconvolution math.ST · 2018 · author #1
- Statistical Optimal Transport via Factored Couplings stat.ML · 2018 · author #4
- Sparse Gaussian ICA stat.ML · 2018 · author #2
- Teacher Improves Learning by Selecting a Training Subset stat.ML · 2018 · author #3
- Minimax Rates and Efficient Algorithms for Noisy Sorting stat.ML · 2017 · author #3
- The sample complexity of multi-reference alignment cs.IT · 2017 · author #4
- Rates of estimation for determinantal point processes math.ST · 2017 · author #3
- Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration cs.DS · 2017 · author #3
- Learning Determinantal Point Processes with Moments and Cycles math.ST · 2017 · author #4
- Optimal rates of estimation for multi-reference alignment math.ST · 2017 · author #2
- Maximum likelihood estimation of determinantal point processes math.ST · 2017 · author #3
- Exact recovery in the Ising blockmodel math.ST · 2016 · author #2
- Mar\v{c}enko-Pastur Law for Kendall's Tau math.ST · 2016 · author #3
- Optimal Rates of Statistical Seriation math.ST · 2016 · author #3
- Optimal rates for total variation denoising math.ST · 2016 · author #2
- Online learning in repeated auctions cs.GT · 2015 · author #3
- Batched bandit problems math.ST · 2015 · author #2
- Estimation of functionals of sparse covariance matrices math.ST · 2014 · author #2
- Aggregation of Affine Estimators math.ST · 2013 · author #2
- Computational Lower Bounds for Sparse PCA math.ST · 2013 · author #2
- Bounded regret in stochastic multi-armed bandits math.ST · 2013 · author #3
- Optimal learning with $Q$-aggregation math.ST · 2013 · author #2
- Estimation of Covariance Matrices under Sparsity Constraints math.ST · 2012 · author #1
- Deviation optimal learning using greedy Q-aggregation math.ST · 2012 · author #2
- Optimal detection of sparse principal components in high dimension math.ST · 2012 · author #2
- The multi-armed bandit problem with covariates math.ST · 2011 · author #2
- Sparse Estimation by Exponential Weighting math.ST · 2011 · author #1
- Neyman-Pearson classification, convexity and stochastic constraints stat.ML · 2011 · author #1
- Exponential Screening and optimal rates of sparse estimation math.ST · 2010 · author #1
- Nonparametric Bandits with Covariates math.ST · 2010 · author #1
- Kullback-Leibler aggregation and misspecified generalized linear models stat.ML · 2009 · author #1
- Optimal rates for plug-in estimators of density level sets math.ST · 2006 · author #1
Mentions
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Frequent Coauthors
- Jonathan Weed 8 shared papers
- Jan-Christian H\"utter 4 shared papers
- Vianney Perchet 4 shared papers
- Afonso S. Bandeira 3 shared papers
- Ankur Moitra 3 shared papers
- Cheng Mao 3 shared papers
- John Urschel 3 shared papers
- Quentin Berthet 3 shared papers
- Victor-Emmanuel Brunel 3 shared papers
- Alexandre Tsybakov 2 shared papers
- Dong Dai 2 shared papers
- Shi Chen 2 shared papers
- Tong Zhang 2 shared papers
- Yury Polyanskiy 2 shared papers
- Zhengjiang Lin 2 shared papers
- Aden Forrow 1 shared papers
- Alexandre B. Tsybakov 1 shared papers
- Amelia Perry 1 shared papers
- Amit Singer 1 shared papers
- Asad Lodhia 1 shared papers