:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Sokolov, Georgy, Thiessen, Maximilian, Akhmejanova, Margarita, Vitale, Fabio, Orabona, Francesco
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2409.01428
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Finite-Time Analysis of TD Learning with Linear Function Approximation without Projections or Strong Convexity
by: Lee, Wei-Cheng, et al.
Published: (2025)

A Modern Introduction to Online Learning
by: Orabona, Francesco
Published: (2019)

From Betting to Empirical Bernstein LIL
by: Orabona, Francesco
Published: (2026)

A Note on How to Remove the $\ln\ln T$ Term from the Squint Bound
by: Orabona, Francesco
Published: (2026)

New Lower Bounds for Stochastic Non-Convex Optimization through Divergence Decomposition
by: Saad, El Mehdi, et al.
Published: (2025)

Efficient Algorithms for Learning Monophonic Halfspaces in Graphs
by: Bressan, Marco, et al.
Published: (2024)

STaR-Bets: Sequential Target-Recalculating Bets for Tighter Confidence Intervals
by: Voráček, Václav, et al.
Published: (2025)

Square$χ$PO: Differentially Private and Robust $χ^2$-Preference Optimization in Offline Direct Alignment
by: Zhou, Xingyu, et al.
Published: (2025)

An Equivalence Between Static and Dynamic Regret Minimization
by: Jacobsen, Andrew, et al.
Published: (2024)

Bandits with Abstention under Expert Advice
by: Pasteris, Stephen, et al.
Published: (2024)

New Perspectives on the Polyak Stepsize: Surrogate Functions and Negative Results
by: Orabona, Francesco, et al.
Published: (2025)

A Best-of-Both-Worlds Proof for Tsallis-INF without Fenchel Conjugates
by: Lee, Wei-Cheng, et al.
Published: (2025)

Online Conformal Prediction via Universal Portfolio Algorithms
by: Liu, Tuo, et al.
Published: (2026)

Efficient Algorithms for Learning and Compressing Monophonic Halfspaces in Graphs
by: Bressan, Marco, et al.
Published: (2025)

A Unified Theoretical Analysis of Private and Robust Offline Alignment: from RLHF to DPO
by: Zhou, Xingyu, et al.
Published: (2025)

Optimal Stochastic Non-smooth Non-convex Optimization through Online-to-Non-convex Conversion
by: Cutkosky, Ashok, et al.
Published: (2023)

Fast and Effective GNN Training through Sequences of Random Path Graphs
by: Bonchi, Francesco, et al.
Published: (2023)

Dynamic Regret Reduces to Kernelized Static Regret
by: Jacobsen, Andrew, et al.
Published: (2025)

Offline and Online KL-Regularized RLHF under Differential Privacy
by: Wu, Yulian, et al.
Published: (2025)

ATA: Adaptive Task Allocation for Efficient Resource Management in Distributed Machine Learning
by: Maranjyan, Artavazd, et al.
Published: (2025)

Beyond the Ideal: Analyzing the Inexact Muon Update
by: Shulgin, Egor, et al.
Published: (2025)

Better-than-KL PAC-Bayes Bounds
by: Kuzborskij, Ilja, et al.
Published: (2024)

Adaptive Identification and Modeling of Clinical Pathways with Process Mining
by: Vitale, Francesco, et al.
Published: (2025)

An Approximation Algorithm for Graph Label Selection
by: John, Josia, et al.
Published: (2026)

Learning Conditional Averages
by: Bressan, Marco, et al.
Published: (2026)

Fractional hypergraph coloring
by: Akhmejanova, Margarita, et al.
Published: (2025)

On the upper tail of star counts in random graphs
by: Akhmejanova, Margarita, et al.
Published: (2025)

Run-Time Monitoring of ERTMS/ETCS Control Flow by Process Mining
by: Vitale, Francesco, et al.
Published: (2025)

Quantum Graph Attention Networks: Trainable Quantum Encoders for Inductive Graph Learning
by: Faria, Arthur M., et al.
Published: (2025)

Optimal Regret of Bernoulli Bandits under Global Differential Privacy
by: Azize, Achraf, et al.
Published: (2025)

Architecting software monitors for control-flow anomaly detection through large language models and conformance checking
by: Vitale, Francesco, et al.
Published: (2025)

Dynamic Risk Assessment by Bayesian Attack Graphs and Process Mining
by: Vitale, Francesco, et al.
Published: (2026)

Graph-Based Uncertainty-Aware Self-Training with Stochastic Node Labeling
by: Liu, Tom, et al.
Published: (2025)

The Dimension of Self-Directed Learning
by: Devulapalli, Pramith, et al.
Published: (2024)

Affinity Graph Connectivity in Convex Clustering
by: Rosen, Sam, et al.
Published: (2026)

Parameter-Free Dynamic Regret for Unconstrained Linear Bandits
by: Rumi, Alberto, et al.
Published: (2026)

Graph Partial Label Learning with Potential Cause Discovering
by: Gao, Hang, et al.
Published: (2024)

Learning Multi-Attribute Differential Graphs with Non-Convex Penalties
by: Tugnait, Jitendra K
Published: (2025)

Convolutional Learning on Directed Acyclic Graphs
by: Rey, Samuel, et al.
Published: (2024)

From Distance to Direction: Structure-aware Label-specific Feature Fusion for Label Distribution Learning
by: Xu, Suping, et al.
Published: (2025)