information-theoretic bound

Information-Theoretic Lower Bounds for Causal Inference under Credal Uncertainty UAI 2026 Linear Regression under Missing or Corrupted Coordinates COLT 2026 Data Reconstruction Attacks and Defenses: A Systematic Evaluation AISTATS 2025 LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty CVPR 2025 Optimal Top-Two Method for Best Arm Identification and Fluid Analysis NeurIPS 2024 Towards Generalization beyond Pointwise Learning: A Unified Information-theoretic Perspective ICML 2024 Two Facets of SDE Under an Information-Theoretic Lens: Generalization of SGD via Training Trajectories and via Terminal States UAI 2024 Limitations of Information-Theoretic Generalization Bounds for Gradient Descent Methods in Stochastic Convex Optimization ALT 2023 On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain Adaptation ICML 2023 Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian Meta-learning AISTATS 2022 On the Generalization of Models Trained with SGD: Information-Theoretic Bounds and Implications ICLR 2022 Statistical and Computational Phase Transitions in Group Testing COLT 2022 Tight query complexity bounds for learning graph partitions COLT 2022 Understanding and Mitigating Data Contamination in Deep Anomaly Detection: A Kernel-based Approach IJCAI 2022 Rate-Distortion Analysis of Minimum Excess Risk in Bayesian Learning ICML 2021 Conditioning and Processing: Techniques to Improve Information-Theoretic Generalization Bounds NeurIPS 2020 Information Theoretic Optimal Learning of Gaussian Graphical Models COLT 2020 Sharpened Generalization Bounds based on Conditional Mutual Information and an Application to Noisy, Iterative Algorithms NeurIPS 2020 Correlation Clustering with Adaptive Similarity Queries NeurIPS 2019 Learning to Remember More with Less Memorization ICLR 2019 Same-Cluster Querying for Overlapping Clusters NeurIPS 2019 The All-or-Nothing Phenomenon in Sparse Linear Regression COLT 2019 Fundamental Limits of Weak Recovery with Applications to Phase Retrieval COLT 2018 Clustering with Noisy Queries NeurIPS 2017 High Dimensional Regression with Binary Coefficients. Estimating Squared Error and a Phase Transtition COLT 2017