• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 108 matches

• 2024
• 
  Quentin Klopfenstein, Quentin Bertrand, Alexandre Gramfort, Joseph Salmon, Samuel Vaiter:
  Local linear convergence of proximal coordinate descent algorithm. Optim. Lett. 18(1): 135-154 (2024)
• 
  Tanguy Lefort, Benjamin Charlier, Alexis Joly, Joseph Salmon:
  Identify Ambiguous Tasks Combining Crowdsourced Labels by Weighting Areas Under the Margin. Trans. Mach. Learn. Res. 2024 (2024)
• 
  Tanguy Lefort, Antoine Affouard, Benjamin Charlier, Jean-Christophe Lombardo, Mathias Chouet, Hervé Goëau, Joseph Salmon, Pierre Bonnet, Alexis Joly:
  Cooperative learning of Pl@ntNet's Artificial Intelligence algorithm: how does it work and how can we improve it? CoRR abs/2406.03356 (2024)
• 2023
• 
  Hashem Ghanem, Joseph Salmon, Nicolas Keriven, Samuel Vaiter:
  Supervised Learning of Analysis-Sparsity Priors With Automatic Differentiation. IEEE Signal Process. Lett. 30: 339-343 (2023)
• 
  Paul Mangold, Aurélien Bellet, Joseph Salmon, Marc Tommasi:
  High-Dimensional Private Empirical Risk Minimization by Greedy Coordinate Descent. AISTATS 2023: 4894-4916
• 
  Camille Garcin, Maximilien Servajean, Alexis Joly, Joseph Salmon:
  A two-head loss function for deep Average-K classification. CoRR abs/2303.18118 (2023)
• 2022
• 
  Quentin Bertrand, Quentin Klopfenstein, Mathurin Massias, Mathieu Blondel, Samuel Vaiter, Alexandre Gramfort, Joseph Salmon:
  Implicit Differentiation for Fast Hyperparameter Selection in Non-Smooth Convex Learning. J. Mach. Learn. Res. 23: 149:1-149:43 (2022)
• 
  Cristopher Font-Santiago, Mirva Johnson, Joseph Salmons:
  Reallocation: How new forms arise from contact. Lang. Linguistics Compass 16(8) (2022)
• 
  Jérôme-Alexis Chevalier, Tuan-Binh Nguyen, Bertrand Thirion, Joseph Salmon:
  Spatially relaxed inference on high-dimensional linear models. Stat. Comput. 32(5): 83 (2022)
• 
  Alain Rakotomamonjy, Rémi Flamary, Joseph Salmon, Gilles Gasso:
  Convergent Working Set Algorithm for Lasso with Non-Convex Sparse Regularizers. AISTATS 2022: 5196-5211
• 
  Kenan Sehic, Alexandre Gramfort, Joseph Salmon, Luigi Nardi:
  LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso. AutoML 2022: 2/1-24
• 
  Camille Garcin, Maximilien Servajean, Alexis Joly, Joseph Salmon:
  Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classification. ICML 2022: 7208-7222
• 
  Paul Mangold, Aurélien Bellet, Joseph Salmon, Marc Tommasi:
  Differentially Private Coordinate Descent for Composite Empirical Risk Minimization. ICML 2022: 14948-14978
• 
  Thomas Moreau, Mathurin Massias, Alexandre Gramfort, Pierre Ablin, Pierre-Antoine Bannier, Benjamin Charlier, Mathieu Dagréou, Tom Dupré la Tour, Ghislain Durif, Cássio F. Dantas, Quentin Klopfenstein, Johan Larsson, En Lai, Tanguy Lefort, Benoît Malézieux, Badr Moufad, Binh T. Nguyen, Alain Rakotomamonjy, Zaccharie Ramzi, Joseph Salmon, Samuel Vaiter:
  Benchopt: Reproducible, efficient and collaborative optimization benchmarks. NeurIPS 2022
• 
  Camille Garcin, Maximilien Servajean, Alexis Joly, Joseph Salmon:
  Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classification. CoRR abs/2202.02193 (2022)
• 
  Thomas Moreau, Mathurin Massias, Alexandre Gramfort, Pierre Ablin, Pierre-Antoine Bannier, Benjamin Charlier, Mathieu Dagréou, Tom Dupré la Tour, Ghislain Durif, Cássio F. Dantas, Quentin Klopfenstein, Johan Larsson, En Lai, Tanguy Lefort, Benoît Malézieux, Badr Moufad, Binh T. Nguyen, Alain Rakotomamonjy, Zaccharie Ramzi, Joseph Salmon, Samuel Vaiter:
  Benchopt: Reproducible, efficient and collaborative optimization benchmarks. CoRR abs/2206.13424 (2022)
• 
  Paul Mangold, Aurélien Bellet, Joseph Salmon, Marc Tommasi:
  High-Dimensional Private Empirical Risk Minimization by Greedy Coordinate Descent. CoRR abs/2207.01560 (2022)
• 
  Tanguy Lefort, Benjamin Charlier, Alexis Joly, Joseph Salmon:
  Improve learning combining crowdsourced labels by weighting Areas Under the Margin. CoRR abs/2209.15380 (2022)
• 2021
• 
  Charles-Alban Deledalle, Nicolas Papadakis, Joseph Salmon, Samuel Vaiter:
  Block-Based Refitting in ℓ ₁₂ Sparse Regularization. J. Math. Imaging Vis. 63(2): 216-236 (2021)
• 
  Jérôme-Alexis Chevalier, Tuan-Binh Nguyen, Joseph Salmon, Gaël Varoquaux, Bertrand Thirion:
  Decoding with confidence: Statistical control on decoder maps. NeuroImage 234: 117921 (2021)
• 
  Florent Bascou, Sophie Lèbre, Joseph Salmon:
  Elastic Net avec gestion des interactions et débiaisage. EGC 2021: 269-276
• 
  Lang Liu, Joseph Salmon, Zaïd Harchaoui:
  Score-Based Change Detection For Gradient-Based Learning Machines. ICASSP 2021: 4990-4994
• 
  Camille Garcin, Alexis Joly, Pierre Bonnet, Antoine Affouard, Jean-Christophe Lombardo, Mathias Chouet, Maximilien Servajean, Titouan Lorieul, Joseph Salmon:
  Pl@ntNet-300K: a plant image dataset with high label ambiguity and a long-tailed distribution. NeurIPS Datasets and Benchmarks 2021
• 
  David E. Shaw, Peter J. Adams, Asaph Azaria, Joseph A. Bank, Brannon Batson, Alistair Bell, Michael Bergdorf, Jhanvi Bhatt, J. Adam Butts, Timothy Correia, Robert M. Dirks, Ron O. Dror, Michael P. Eastwood, Bruce Edwards, Amos Even, Peter Feldmann, Michael Fenn, Christopher H. Fenton, Anthony Forte, Joseph Gagliardo, Gennette Gill, Maria Gorlatova, Brian Greskamp, J. P. Grossman, Justin Gullingsrud, Anissa Harper, William Hasenplaugh, Mark Heily, Benjamin Colin Heshmat, Jeremy Hunt, Douglas J. Ierardi, Lev Iserovich, Bryan L. Jackson, Nick P. Johnson, Mollie M. Kirk, John L. Klepeis, Jeffrey S. Kuskin, Kenneth M. Mackenzie, Roy J. Mader, Richard McGowen, Adam McLaughlin, Mark A. Moraes, Mohamed H. Nasr, Lawrence J. Nociolo, Lief O'Donnell, Andrew Parker, Jon L. Peticolas, Goran Pocina, Cristian Predescu, Terry Quan, John K. Salmon, Carl Schwink, Keun Sup Shim, Naseer Siddique, Jochen Spengler, Tamas Szalay, Raymond Tabladillo, Reinhard Tartler, Andrew G. Taube, Michael Theobald, Brian Towles, William Vick, Stanley C. Wang, Michael Wazlowski, Madeleine J. Weingarten, John M. Williams, Kevin A. Yuh:
  Anton 3: twenty microseconds of molecular dynamics simulation before lunch. SC 2021: 1
• 
  Quentin Bertrand, Quentin Klopfenstein, Mathurin Massias, Mathieu Blondel, Samuel Vaiter, Alexandre Gramfort, Joseph Salmon:
  Implicit differentiation for fast hyperparameter selection in non-smooth convex learning. CoRR abs/2105.01637 (2021)
• 
  Lang Liu, Joseph Salmon, Zaïd Harchaoui:
  Score-Based Change Detection for Gradient-Based Learning Machines. CoRR abs/2106.14122 (2021)
• 
  Paul Mangold, Aurélien Bellet, Joseph Salmon, Marc Tommasi:
  Differentially Private Coordinate Descent for Composite Empirical Risk Minimization. CoRR abs/2110.11688 (2021)
• 
  Kenan Sehic, Alexandre Gramfort, Joseph Salmon, Luigi Nardi:
  LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso. CoRR abs/2111.02790 (2021)
• 2020
• 
  Axel Parmentier, Victor Cohen, Vincent Leclère, Guillaume Obozinski, Joseph Salmon:
  Integer Programming on the Junction Tree Polytope for Influence Diagrams. INFORMS J. Optim. 2(3): 209-228 (2020)
• 
  Joseph Baugher:
  SeroTools: a Python package for Salmonella serotype data analysis. J. Open Source Softw. 5(53): 2556 (2020)

skipping 78 more matches