Liva Ralaivola
13 papers · 2005–2024 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (30) π Academic Marathon Β· Full π Interdisciplinary Bridge Β· Bronze π Conference Polyglot Β· Silver π£ Hot Topic Early Bird
π
Keyword Champion
(2)
π
Keyword Trendsetter Combo
(4)
π§
Keyword Pioneer
π
Trend Setter
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(62)
Top co-authors
Research topics
Machine Learning
(11)
Optimization & Theory
(9)
Mathematics & Optimization
(6)
Core Methods
(5)
Learning Types
(4)
Mathematics
(3)
Optimization
(3)
Artificial Intelligence
(2)
Natural Language Processing
(2)
Deep Learning
(1)
Application Areas
(1)
Applications
(1)
Architectures
(1)
Core AI
(1)
Generation
(1)
Keywords
generalization bound
(4)
online learning
(3)
confusion matrix
(2)
passive-aggressive algorithm
(2)
multi-class classification
(2)
optimal transport
(2)
regret bound
(2)
text classification
(1)
sentiment analysis
(1)
differential privacy
(1)
stochastic process
(1)
variance estimation
(1)
empirical bernstein inequalities
(1)
u-statistics
(1)
passive-aggressive
(1)
exploration-exploitation tradeoff
(1)
concentration inequality
(1)
sliced wasserstein distance
(1)
perceptron learning
(1)
learning theory
(1)
Papers
Federated Wasserstein Distance
ICLR 2024
Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances
ICML 2023
Photonic Differential Privacy with Direct Feedback Alignment
NeurIPS 2021
Integrating knowledge graph embeddings to improve mention representation for bridging anaphora resolution
COLING 2020
Bandits Dueling on Partially Ordered Sets
NeurIPS 2017
Online Learning of Task-specific Word Representations with a Joint Biconvex Passive-Aggressive Algorithm
EACL 2017
Cornering Stationary and Restless Mixing Bandits with Remix-UCB
NeurIPS 2015
Entropy-Based Concentration Inequalities for Dependent Variables
ICML 2015
Unconfused Ultraconservative Multiclass Algorithms
ACML 2013
Confusion-Based Online Learning and a Passive-Aggressive Scheme
NeurIPS 2012
Chromatic PAC-Bayes Bounds for Non-IID Data: Applications to Ranking and Stationary Ξ²-Mixing Processes
JMLR 2010
Empirical Bernstein Inequalities for U-Statistics
NeurIPS 2010
Chromatic PAC-Bayes Bounds for Non-IID Data
AISTATS 2005