Key papers

• Regularized Variational and Spectral Log-Density-Ratio Estimation in the Gaussian Location Model (2026)
  Francis Bach (SIERRA)
  5.01
• Prediction Sets for Counterfactual Decisions: Coverage, Optimality, and Conformal Prediction (2026)
  Yurui Zheng et al.
  5.01
• Characterizing and Identifying Separable Graphical Models (2026)
  Christopher Meek et al.
  4.39
• Adaptive Bayesian Online Learning via Expert Aggregation (2026)
  Jungbin Jun et al.
  4.39
• Byzantine Machine Learning: MultiKrum and an optimal notion of robustness (2026)
  Gilles Bareilles et al.
  3.98
• Range Penalization: Theoretical Insights with Applications in Federated Learning (2026)
  Yiyuan She et al.
  3.45
• Beyond Negative-Ridge Endpoints: Mixed-Sign Spectral Regularization via Negative-Shifted Gradient Descent (2026)
  Peng Zhao
  2.00
• Self-Distillation is Optimal Among Spectral Shrinkage Estimators in Spiked Covariance Models (2026)
  Radu Lecoiu et al.
  1.89
• General Lower Bounds for Differentially Private Federated Learning with Arbitrary Public-Transcript Interactions (2026)
  Yicheng Li
  1.89
• Minimum Norm Interpolation via the Local Theory of Banach Spaces: The Role of $2$-Uniform Convexity (2026)
  Gil Kur et al.
  1.78
• Gradient Projection onto Historical Descent Directions for Communication-Efficient Federated Learning (2025)
  Arnaud Descours (UCBL) et al.
  1.56
• Mitigating Privacy-Utility Trade-off in Decentralized Federated Learning via $f$-Differential Privacy (2025)
  Xiang Li et al.
  1.50
• Robust Estimation Under Heterogeneous Corruption Rates (2025)
  Syomantak Chaudhuri et al.
  1.39
• PCS-UQ: Uncertainty Quantification via the Predictability-Computability-Stability Framework (2025)
  Abhineet Agarwal et al.
  1.22
• Private Information Retrieval on Multigraph-Based Replicated Storage (2025)
  Shreya Meel et al.
  1.00
• An Information Theoretic Perspective on Conformal Prediction (2024)
  Alvaro H.C. Correia et al.
  0.61
• Relaxed Reliable Broadcast for Decentralized Trust (2021)
  Jo\~ao Paulo Bezerra et al.
  —
• Sequential Estimation under Multiple Resources: a Bandit Point of View (2021)
  Alireza Masoumian et al.
  —
• The Role of Pseudo-labels in Self-training Linear Classifiers on High-dimensional Gaussian Mixture Data (2022)
  Takashi Takahashi
  —
• Personalized PCA: Decoupling Shared and Unique Features (2022)
  Naichen Shi and Raed Al Kontar
  —
• Online Multi-Agent Decentralized Byzantine-robust Gradient Estimation (2022)
  Alexandre Reiffers-Masson (IMT Atlantique - INFO et al.
  —
• On the Hardness of Robustness Transfer: A Perspective from Rademacher Complexity over Symmetric Difference Hypothesis Space (2023)
  Yuyang Deng et al.
  —
• PINE: Efficient Norm-Bound Verification for Secret-Shared Vectors (2023)
  Guy N. Rothblum et al.
  —
• Interactive Byzantine-Resilient Gradient Coding for General Data Assignments (2024)
  Shreyas Jain et al.
  —
• Collaborative Heterogeneous Causal Inference Beyond Meta-analysis (2024)
  Tianyu Guo et al.
  —
• Decentralized Distributed Graph Coloring II: degree+1-Coloring Virtual Graphs (2024)
  Maxime Flin et al.
  —
• Ask for More Than Bayes Optimal: A Theory of Indecisions for Selective Hypothesis Testing (2024)
  Mohamed Ndaoud et al.
  —