• 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 75 matches

• 2024
• 
  Alain Rakotomamonjy, Maxime Vono, Hamlet Jesse Medina Ruiz, Liva Ralaivola:
  Personalised Federated Learning On Heterogeneous Feature Spaces. Trans. Mach. Learn. Res. 2024 (2024)
• 
  Alain Rakotomamonjy, Kimia Nadjahi, Liva Ralaivola:
  Federated Wasserstein Distance. ICLR 2024
• 2023
• 
  Ruben Ohana, Kimia Nadjahi, Alain Rakotomamonjy, Liva Ralaivola:
  Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances. ICML 2023: 26451-26473
• 
  Alain Rakotomamonjy, Maxime Vono, Hamlet Jesse Medina Ruiz, Liva Ralaivola:
  Personalised Federated Learning On Heterogeneous Feature Spaces. CoRR abs/2301.11447 (2023)
• 
  Alain Rakotomamonjy, Kimia Nadjahi, Liva Ralaivola:
  Federated Wasserstein Distance. CoRR abs/2310.01973 (2023)
• 2022
• 
  Farah Cherfaoui, Hachem Kadri, Liva Ralaivola:
  Scalable Ridge Leverage Score Sampling for the Nyström Method. ICASSP 2022: 4163-4167
• 
  Ruben Ohana, Kimia Nadjahi, Alain Rakotomamonjy, Liva Ralaivola:
  Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances. CoRR abs/2206.03230 (2022)
• 2021
• 
  Luc Giffon, Valentin Emiya, Hachem Kadri, Liva Ralaivola:
  QuicK-means: accelerating inference for K-means by learning fast transforms. Mach. Learn. 110(5): 881-905 (2021)
• 
  Alain Rakotomamonjy, Liva Ralaivola:
  Differentially Private Sliced Wasserstein Distance. ICML 2021: 8810-8820
• 
  Ruben Ohana, Hamlet Jesse Medina Ruiz, Julien Launay, Alessandro Cappelli, Iacopo Poli, Liva Ralaivola, Alain Rakotomamonjy:
  Photonic Differential Privacy with Direct Feedback Alignment. NeurIPS 2021: 22010-22020
• 
  Ruben Ohana, Hamlet Jesse Medina Ruiz, Julien Launay, Alessandro Cappelli, Iacopo Poli, Liva Ralaivola, Alain Rakotomamonjy:
  Photonic Differential Privacy with Direct Feedback Alignment. CoRR abs/2106.03645 (2021)
• 
  Alain Rakotomamonjy, Liva Ralaivola:
  Differentially Private Sliced Wasserstein Distance. CoRR abs/2107.01848 (2021)
• 2020
• 
  Balthazar Casalé, Giuseppe Di Molfetta, Hachem Kadri, Liva Ralaivola:
  Quantum bandits. Quantum Mach. Intell. 2(1): 1-7 (2020)
• 
  Hachem Kadri, Stéphane Ayache, Riikka Huusari, Alain Rakotomamonjy, Liva Ralaivola:
  Partial Trace Regression and Low-Rank Kraus Decomposition. ICML 2020: 5031-5041
• 
  Balthazar Casalé, Giuseppe Di Molfetta, Hachem Kadri, Liva Ralaivola:
  Quantum Bandits. CoRR abs/2002.06395 (2020)
• 
  Hachem Kadri, Stéphane Ayache, Riikka Huusari, Alain Rakotomamonjy, Liva Ralaivola:
  Partial Trace Regression and Low-Rank Kraus Decomposition. CoRR abs/2007.00935 (2020)
• 2019
• 
  Farah Cherfaoui, Valentin Emiya, Liva Ralaivola, Sandrine Anthoine:
  Recovery and Convergence Rate of the Frank-Wolfe Algorithm for the m-Exact-Sparse Problem. IEEE Trans. Inf. Theory 65(11): 7407-7414 (2019)
• 
  Onkar Arun Pandit, Pascal Denis, Liva Ralaivola:
  Learning Rich Event Representations and Interactions for Temporal Relation Classification. ESANN 2019
• 
  Luc Giffon, Valentin Emiya, Liva Ralaivola, Hachem Kadri:
  QuicK-means: Acceleration of K-means by learning a fast transform. CoRR abs/1908.08713 (2019)
• 2018
• 
  Farah Cherfaoui, Valentin Emiya, Liva Ralaivola, Sandrine Anthoine:
  Frank-Wolfe Algorithm for the Exact Sparse Problem. CoRR abs/1812.07201 (2018)
• 2017
• 
  François Laviolette, Emilie Morvant, Liva Ralaivola, Jean-Francis Roy:
  Risk upper bounds for general ensemble methods with an application to multiclass classification. Neurocomputing 219: 15-25 (2017)
• 
  Alain Rakotomamonjy, Sokol Koço, Liva Ralaivola:
  Greedy Methods, Randomization Approaches, and Multiarm Bandit Algorithms for Efficient Sparsity-Constrained Optimization. IEEE Trans. Neural Networks Learn. Syst. 28(11): 2789-2802 (2017)
• 
  Pascal Denis, Liva Ralaivola:
  Online Learning of Task-specific Word Representations with a Joint Biconvex Passive-Aggressive Algorithm. EACL (1) 2017: 775-784
• 
  Julien Audiffren, Liva Ralaivola:
  Bandits Dueling on Partially Ordered Sets. NIPS 2017: 2129-2138
• 2016
• 
  Julien Audiffren, Liva Ralaivola:
  Indistinguishable Bandits Dueling with Decoys on a Poset. CoRR abs/1602.02706 (2016)
• 2015
• 
  Ugo Louche, Liva Ralaivola:
  Unconfused ultraconservative multiclass algorithms. Mach. Learn. 99(2): 327-351 (2015)
• 
  Antoine Bonnefoy, Valentin Emiya, Liva Ralaivola, Rémi Gribonval:
  Dynamic Screening: Accelerating First-Order Algorithms for the Lasso and Group-Lasso. IEEE Trans. Signal Process. 63(19): 5121-5132 (2015)
• 
  Hongliang Zhong, Emmanuel Daucé, Liva Ralaivola:
  Online multiclass learning with "bandit" feedback under a Passive-Aggressive approach. ESANN 2015
• 
  Alain Rakotomamonjy, Sokol Koço, Liva Ralaivola:
  More efficient sparsity-inducing algorithms using inexact gradient. EUSIPCO 2015: 709-713
• 
  Liva Ralaivola, Massih-Reza Amini:
  Entropy-Based Concentration Inequalities for Dependent Variables. ICML 2015: 2436-2444

skipping 45 more matches