yusuke1997/dblp-id-title huggingface dataset:
Learning Invariant Representations Under General Interventions on the Response
Balanced Nonadaptive Redundancy Scheduling
Secure MISO Broadcast Channel: An Interplay Between CSIT and Network Topology
Machine Learning-Aided Efficient Decoding of Reed-Muller Subcodes
On No-Sensing Adversarial Multi-Player Multi-Armed Bandits With Collision Communications
Continual Mean Estimation Under User-Level Privacy
Bayesian Algorithms for Decentralized Stochastic Bandits
Asymptotic Analysis of an Ensemble of Randomly Projected Linear Discriminants
Non-Additivity in Classical-Quantum Wiretap Channels
Quantum Information Processing: An Essential Primer
Fast Variational Inference for Joint Mixed Sparse Graphical Models
Forking Uncertainties: Reliable Prediction and Model Predictive Control With Sequence Models via Conformal Risk Control
Empirical Policy Evaluation With Supergraphs
Content Delivery Over Broadcast Erasure Channels With Distributed Random Cache
New Bounds on the Size of Binary Codes With Large Minimum Distance
Shuffled Model of Federated Learning: Privacy, Accuracy and Communication Trade-Offs
Erasable Bit Commitment From Temporary Quantum Trust
Causal Semantic Communication for Digital Twins: A Generalizable Imitation Learning Approach
An Overview of Information-Theoretic Security and Privacy: Metrics, Limits and Applications
Time-Invariant Prefix Coding for LQG Control
One for All and All for One: Distributed Learning of Fair Allocations With Multi-Player Bandits
Continuous-Time Distributed Filtering With Sensing and Communication Constraints
Editorial Quantum Error Correction and Fault Tolerance
Shadow Area and Degrees of Freedom for Free-Space Communication
Limits in Spectral Efficiency From Array Geometry
Codeword Stabilized Codes From m-Uniform Graph States
A Code and Rate Equivalence Between Secure Network and Index Coding
Low Influence, Utility, and Independence in Differential Privacy: A Curious Case of (3 2)
Neural Polar Decoders for DNA Data Storage
Cache-Aided Communication Schemes via Combinatorial Designs and Their q-Analogs
Noisy Computing of the OR and MAX Functions
Robust Causal Bandits for Linear Models
Extracting Robust and Accurate Features via a Robust Information Bottleneck
Multiparty Interactive Coding Over Networks of Intersecting Broadcast Links
Total Variation Meets Differential Privacy
Spatio-Temporal Wildfire Prediction Using Multi-Modal Data
Coded Caching in the Presence of a Wire and a Cache Tapping Adversary of Type II
Tail Redundancy and its Characterization of Compression of Memoryless Sources
How Robust are Timely Gossip Networks to Jamming Attacks?
Coding Methods for String Reconstruction From Erroneous Prefix-Suffix Compositions
Deep Learning Techniques for Inverse Problems in Imaging
Information-Theoretic Limits for the Matrix Tensor Product
Causal Adversarial Channels With Feedback Snooping
On Finite-Time Convergence of Actor-Critic Algorithm
Generalized Autoregressive Linear Models for Discrete High-Dimensional Data
Quickest Detection of Moving Anomalies in Sensor Networks
Perfectly Secure Message Transmission Against Rational Adversaries
On the Second-Order Asymptotics of the Partially Smoothed Conditional Min-Entropy & Application to Quantum Compression
Sequential Gradient Coding for Packet-Loss Networks
Energy Efficient Wireless Communications by Harnessing Huygens' Metasurfaces
Version Age of Information in Clustered Gossip Networks
Fisher Information Under Local Differential Privacy
Function Load Balancing Over Networks
Tightening Mutual Information-Based Bounds on Generalization Error
Optimal Communication-Computation Trade-Off in Heterogeneous Gradient Coding
Remote Monitoring of Two-State Markov Sources via Random Access Channels: An Information Freshness vs. State Estimation Entropy Perspective
Timely Multi-Process Estimation Over Erasure Channels With and Without Feedback: Signal-Independent Policies
Guest Editorial for Special Issue on Coded Computing
JSAIT Editorial for the Special Issue on "Beyond Errors and Erasures: Coding for Data Management and Delivery in Networks"
Deep Learning: Mathematical Foundations and Applications to Information Science
Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure Federated Learning
Puncturing Quantum Stabilizer Codes
Active Learning for Classification With Abstention
Quantile Multi-Armed Bandits: Optimal Best-Arm Identification and a Differentially Private Scheme
Geometric Approach to Quantum Statistical Inference
Information Velocity of Cascaded Gaussian Channels With Feedback
An Efficient Strategy to Count Cycles in the Tanner Graph of Quasi-Cyclic LDPC Codes
Secure Block Source Coding With Sequential Encoding
Pull or Wait: How to Optimize Query Age of Information
Optimal Binary Differential Privacy via Graphs
Statistical Inference With Limited Memory: A Survey
Optimal Update Times for Stale Information Metrics Including the Age of Information
Secure Integrated Sensing and Communication
Universal Gaussian Quantization With Side-Information Using Polar Lattices
On the All-or-Nothing Behavior of Bernoulli Group Testing
Multi-Party Private Set Intersection: An Information-Theoretic Approach
SPRT-Based Efficient Best Arm Identification in Stochastic Bandits
Single-Server Private Information Retrieval Schemes are Equivalent to Locally Recoverable Coding Schemes
Bandit-Based Monte Carlo Optimization for Nearest Neighbors
Survey of Sequence Reconstruction Problems and Their Applications in DNA-Based Storage
Tightening Continuity Bounds for Entropies and Bounds on Quantum Capacities
Weighted Age of Information-Based Scheduling for Large Population Games on Networks
The SIMO Block Rayleigh Fading Channel Capacity Scaling With Number of Antennas, Bandwidth, and Coherence Length
Active Sensing for Two-Sided Beam Alignment and Reflection Design Using Ping-Pong Pilots
Toward Undetectable Quantum Key Distribution Over Bosonic Channels
Statistical Age-of-Information Bounds for Parallel Systems: When Do Independent Channels Make a Difference?
Intelligence and Unambitiousness Using Algorithmic Information Theory
Information Leakage in Index Coding With Sensitive and Nonsensitive Messages
Bivariate Polynomial Coding for Efficient Distributed Matrix Multiplication
Inference Under Information Constraints III: Local Privacy Constraints
Structured Index Coding Problem and Multi-Access Coded Caching
Securely Aggregated Coded Matrix Inversion
Randomized Polar Codes for Anytime Distributed Machine Learning
Ramp Secret Sharing for Composite DNA
Three Variants of Differential Privacy: Lossless Conversion and Applications
The Capacity Region of Distributed Multi-User Secret Sharing
Expression of Fractals Through Neural Network Functions
Editorial Issue on "Information Theoretic Foundations of Future Communication Systems"
The Worst-Case Data-Generating Probability Measure in Statistical Learning
When Does Multipath Improve Imaging Resolution?
Near-Optimal Coding for Many-User Multiple Access Channels
Sample Compression, Support Vectors, and Generalization in Deep Learning
Threshold-Secure Coding With Shared Key
Toward General Function Approximation in Nonstationary Reinforcement Learning
On Covert Quantum Sensing and the Benefits of Entanglement
Age of Information in Multi-source Updating Systems Powered by Energy Harvesting
The Voronoi Region of the Barnes-Wall Lattice Λ 16
Controllable Key Agreement With Correlated Noise
Physical Layer Communication via Deep Learning
Theoretical Perspectives on Deep Learning Methods in Inverse Problems
Deviation From Maximal Entanglement for Mid-Spectrum Eigenstates of Local Hamiltonians
Harmless Interpolation of Noisy Data in Regression
Tensor Estimation With Structured Priors
Universal Active Learning via Conditional Mutual Information Minimization
Achieving Positive Covert Capacity Over MIMO AWGN Channels
Denoising Generalized Expectation-Consistent Approximation for MR Image Recovery
Multi-Party Proof Generation in QAP-Based zk-SNARKs
Learning-Based Coded Computation
On Distributed Learning With Constant Communication Bits
A Fourier-Based Approach to Generalization and Optimization in Deep Learning
Lossy Compression of Noisy Data for Private and Data-Efficient Learning
Introduction to the Special Issue on Quantum Information Science
Editorial Special Issue on Causality: Fundamental Limits and Applications
All You Need Is Feedback: Communication With Block Attention Feedback Codes
Quantum Private Information Retrieval From Coded and Colluding Servers
Structured Alternating Minimization for Union of Nested Low-Rank Subspaces Data Completion
New Results on the Storage-Retrieval Tradeoff in Private Information Retrieval Systems
Exactly Optimal and Communication-Efficient Private Estimation via Block Designs
PacGAN: The Power of Two Samples in Generative Adversarial Networks
Stochastic Gradient Coding for Straggler Mitigation in Distributed Learning
Compressing Multisets With Large Alphabets
How Much Power Must We Extract From a Receiver Antenna to Effect Communications?
Coded Sequential Matrix Multiplication for Straggler Mitigation
Genomic Compression With Read Alignment at the Decoder
Estimating the Sizes of Binary Error-Correcting Constrained Codes
A Graph-Based Soft-Decision Decoding Scheme for Reed-Solomon Codes
Double Blind T-Private Information Retrieval
Iterative Broadband Source Localization
Iterative Sketching for Secure Coded Regression
Refined Belief Propagation Decoding of Sparse-Graph Quantum Codes
High-Speed LFSR Decoder Architectures for BCH and GII Codes
On the Minimum Weight Codewords of PAC Codes: The Impact of Pre-Transformation
Error Propagation Mitigation in Sliding Window Decoding of Spatially Coupled LDPC Codes
Robust Algorithmic Recourse Under Model Multiplicity With Probabilistic Guarantees
Over-the-Air Design of GAN Training for mmWave MIMO Channel Estimation
Recovering Data Permutations From Noisy Observations: The Linear Regime
A Unified Approach to Translate Classical Bandit Algorithms to the Structured Bandit Setting
Efficient Randomized Subspace Embeddings for Distributed Optimization Under a Communication Budget
Joint Communication and Binary State Detection
Secure Computation-and-Forward With Linear Codes
Regular Sparse NOMA: Ultimate Performance in Closed Form
Robust Change Detection via Information Projection
Differentially Private Stochastic Linear Bandits: (Almost) for Free
Communication-Efficient Distributed SGD Using Random Access for Over-the-Air Computation
Exact Asymptotics for Learning Tree-Structured Graphical Models With Side Information: Noiseless and Noisy Samples
Intrablock Interleaving for Batched Network Coding With Blockwise Adaptive Recoding
Curiosity Killed or Incapacitated the Cat and the Asymptotically Optimal Agent
Generalization Bounds via Information Density and Conditional Information Density
Asynchronous Delayed Optimization With Time-Varying Minibatches
Comparison of D-Wave Quantum Annealing and Classical Simulated Annealing for Local Minima Determination
Network Coding With Myopic Adversaries
Transversal Clifford and T-Gate Codes of Short Length and High Distance
How Quantum Information Can Improve Social Welfare
Neural Estimation of the Rate-Distortion Function With Applications to Operational Source Coding
Fundamental Limits of Over-the-Air Optimization: Are Analog Schemes Optimal?
Learning Algorithm Generalization Error Bounds via Auxiliary Distributions
Functional Broadcast Repair of Multiple Partial Failures in Wireless Distributed Storage Systems
Optimal Strategies for Winning Certain Coset-Guessing Quantum Games
Compressing Gradients by Exploiting Temporal Correlation in Momentum-SGD
Geno-Weaving: A Framework for Low-Complexity Capacity-Achieving DNA Data Storage
Estimating Quantum Entropy
On the Computation of the Gaussian Rate-Distortion-Perception Function
Multi-Group Fairness Evaluation via Conditional Value-at-Risk Testing
Communication Cost of Quantum Processes
Cluster Decomposition for Improved Erasure Decoding of Quantum LDPC Codes
Mutual Coupling in Holographic MIMO: Physical Modeling and Information-Theoretic Analysis
Analog Lagrange Coded Computing
Compression for Multi-Arm Bandits
Device-Independent Randomness Amplification and Privatization
Guest Editorial Special Issue on Sensing: Fundamental Limits and Modern Applications
Information-Theoretic Tools to Understand Distributed Source Coding in Neuroscience
Covert Communication Over the Poisson Channel
Computation of Binary Arithmetic Sum Over an Asymmetric Diamond Network
rTop-k: A Statistical Estimation Approach to Distributed SGD
Quantum X-Secure T-Private Information Retrieval From MDS Coded Storage With Unresponsive and Byzantine Servers
Training Generative Models From Privatized Data via Entropic Optimal Transport
Sequential Change Detection by Optimal Weighted ℓ₂ Divergence
On Optimality of CSS Codes for Transversal T
Secure Source Coding Resilient Against Compromised Users via an Access Structure
Gradient-Based Learning of Discrete Structured Measurement Operators for Signal Recovery
Local Decoding in Distributed Compression
Dual-Blind Deconvolution for Overlaid Radar-Communications Systems
Invertible Neural Networks for Graph Prediction
Coded Computing via Binary Linear Codes: Designs and Performance Limits
Union-Intersection Union-Find for Decoding Depolarizing Errors in Topological Codes
An Information-Theoretic Approach to Unsupervised Feature Selection for High-Dimensional Data
Asymptotically Good CSS-T Codes and a New Construction of Triorthogonal Codes
Transverse-Read-Codes for Domain Wall Memories
Analysis of Large Market Data Using Neural Networks: A Causal Approach
Slow and Stale Gradients Can Win the Race
Contraction of Locally Differentially Private Mechanisms
The Limiting Poisson Law of Massive MIMO Detection With Box Relaxation
LightVeriFL: A Lightweight and Verifiable Secure Aggregation for Federated Learning
Soft BIBD and Product Gradient Codes
MaxiMin Active Learning in Overparameterized Model Classes
Cache-Aided Polar Coding: From Theory to Implementation
On the Rate-Distortion-Perception Function
Flow-Based Distributionally Robust Optimization
Two-Stage Biometric Identification Systems Without Privacy Leakage
Belief Propagation Decoding of Short Graph-Based Channel Codes via Reinforcement Learning
A Novel Chase Kötter-Vardy Algorithm
Learning Linear Gaussian Polytree Models With Interventions
Information-Theoretic Lower Bounds for Compressive Sensing With Generative Models
Efficient Representation of Large-Alphabet Probability Distributions
Multi-Message Shuffled Privacy in Federated Learning
Optimality of Energy-Efficient Scheduling and Relaying for Half-Duplex Relay Networks
The Classical Capacity of Additive Quantum Queue-Channels
Convex Parameter Recovery for Interacting Marked Processes
Secure Private and Adaptive Matrix Multiplication Beyond the Singleton Bound
Stream Distributed Coded Computing
Dimensions of Channel Coding: From Theory to Algorithms to Applications
Straggler-Resilient Differentially Private Decentralized Learning
A Blindness Property of the Min-Sum Decoding for the Toric Code
Robust Hypergraph Clustering via Convex Relaxation of Truncated MLE
Online Energy Minimization Under a Peak Age of Information Constraint
Secure Non-Linear Network Code Over a One-Hop Relay Network
Peer-to-Peer Variational Federated Learning Over Arbitrary Graphs
Capacity of Quantum Symmetric Private Information Retrieval With Collusion of All But One of Servers
Reliable Coded Caching Design Over Wireless Networks
Covert Capacity of Bosonic Channels
Inventing Codes for Channels With Active Feedback via Deep Learning
Optimizing Task-Specific Timeliness With Edge-Assisted Scheduling for Status Update
A Systematic Approach Towards Efficient Private Matrix Multiplication
On Streaming Codes With Unequal Error Protection
Tailoring Fault-Tolerance to Quantum Algorithms
Rate and Detection-Error Exponent Tradeoff for Joint Communication and Sensing of Fixed Channel States
Cross-Domain Lossy Compression as Entropy Constrained Optimal Transport
Quantum Sensing and Communication via Non-Gaussian States
Qsparse-Local-SGD: Distributed SGD With Quantization, Sparsification, and Local Computations
Hypergraph-Based Source Codes for Function Computation Under Maximal Distortion
Fundamental Limits of Caching for Demand Privacy Against Colluding Users
CodedPrivateML: A Fast and Privacy-Preserving Framework for Distributed Machine Learning
Throughput and Latency Analysis for Line Networks With Outage Links
Electromagnetic Information Theory in Phase Space
Editorial Modern Compression
Toward Goal-Oriented Semantic Communications: AoII Analysis of Coded Status Update System Under FBL Regime
Tolerance Intervals With Improved Coverage Probabilities for Binomial and Poisson Variables
Two-Way Random-Effects Analyses and Gauge R&R Studies
Decision-Theoretic Sensitivity Analysis for Complex Computer Models
A Subsampling Strategy for AIC-based Model Averaging with Generalized Linear Models
Robust Bayesian Analysis
General Path Models for Degradation Data With Multiple Characteristics and Covariates
Using History Matching for Prior Choice
Monitoring Heterogeneous Multivariate Profiles Based on Heterogeneous Graphical Model
Accelerated Destructive Degradation Test Planning
Monte Carlo Statistical Methods
Statistical Methods in Computer Security
Phase I Monitoring of Spatial Surface Data from 3D Printing
Statistical Methods for Degradation Data With Dynamic Covariates Information and an Application to Outdoor Weathering Data
Statistical Size Distributions in Economics and Actuarial Sciences
A Bayesian Scheme to Detect Changes in the Mean of a Short-Run Process
Screening the Discrepancy Function of a Computer Model
Philosophies, Puzzles and Paradoxes: A Statistician's Search for Truth: Edited by Yudi Pawitan and Youngjo Lee, Florida, USA: CRC Press, Taylor & Francis Group, 2024 (hbk), $108.00, ISBN 9781032377407
Sequential Exploration of Complex Surfaces Using Minimum Energy Designs
Analysis of Reliability and Warranty Claims in Products With Age and Usage Scales
A Modification of the Jaccard-Tanimoto Similarity Index for Diverse Selection of Chemical Compounds Using Binary Strings
Efficient Designs With Minimal Aliasing
Incorporating Noise Factors Into Experiments With Censored Data
Comment: Comparison With Iterated Laplace Approximation
An Interactive Greedy Approach to Group Sparsity in High Dimensions
Computer Model Calibration Using the Ensemble Kalman Filter
Spatio-Temporal Analysis and Prediction of Mass Telecommunication Base Station Failure Events
SPC: Practical Understanding of Capability by Implementing Statistical Process Control
Estimating Multiple Pathways of Object Growth Using Nonlongitudinal Image Data
Statistical Design of Pools Using Optimal Coverage and Minimal Collision
Model-Based Clustering of Nonparametric Weighted Networks With Application to Water Pollution Analysis
A Parametric Approach to a Nonparametric Statistics
Linear and Generalized Linear Mixed Models and Their Applications
Modification of the Maximin and ϕp (Phi) Criteria to Achieve Statistically Uniform Distribution of Sampling Points
Moment Aberration Projection for Nonregular Fractional Factorial Designs
Consistent Testing for Pairwise Dependence in Time Series
Data-Driven Pathwise Sampling Approaches for Online Anomaly Detection
Decision-Oriented Two-Parameter Fisher Information Sensitivity Using Symplectic Decomposition
Pairwise Meta-Modeling of Multivariate Output Computer Models Using Nonseparable Covariance Function
Construction of Two-Level Split-Lot Fractional Factorial Designs for Multistage Processes
Simplifying Multivariate Second-Order Response Surfaces by Fitting Constrained Models Using Automatic Differentiation
Experimental Design for Formulation
Quality Engineering Handbook
Detection of latent heteroscedasticity and group-based regression effects in linear models via Bayesian model selection
Convex Bidirectional Large Margin Classifiers
Note on the Equivalence of Orthogonalizing EM and Proximal Gradient Descent
d-QPSO: A Quantum-Behaved Particle Swarm Technique for Finding D-Optimal Designs With Discrete and Continuous Factors and a Binary Response
Soccer Analytics: An Introduction Using R: by Clive Beggs, Boca Raton, FL: CRC Press, Taylor & Francis Group, Chapman and Hall, 2024, xiii + 380 pp., $ 66.95 (pbk), ISBN 978-1-032-35758-4
A Multi-Level Trend-Renewal Process for Modeling Systems With Recurrence Data
Bayesian Dynamic Feature Partitioning in High-Dimensional Regression With Big Data
An Ordered Lasso and Sparse Time-Lagged Regression
Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data: 3rd Edition, by Bruce Ratner. Chapman and Hall/CRC, Taylor & Francis Group, Boca Raton, FL, 2020; ISBN 978-0-367-57360-7; xxxiii + 655 pp., $54.95 (pbk)
Finite-Horizon Prediction of Recurrent Events, With Application to Forecasts of Warranty Claims
Permutation Methods: A Distance Function Approach
Reliability Growth Management Metrics and Statistical Methods for Discrete-Use Systems
Statistical Matching: Theory and Practice
Time Series Clustering and Classification
Lot Acceptance and Compliance Testing Using the Sample Mean and an Extremum
Discrete-Time Dynamic Models
A General Method for Local Sensitivity Analysis With Application to Regression Models and Other Optimization Problems
Convex Combination of Gaussian Processes for Bayesian Analysis of Deterministic Computer Experiments
Sequential Optimization in Locally Important Dimensions
Statistical Inference for Power-Law Process With Competing Risks
Comment: A Discrete-Event Simulation Perspective
Band Depth Clustering for Nonstationary Time Series and Wind Speed Behavior
The Temporal Overfitting Problem with Applications in Wind Power Curve Modeling
Reliability Models for Almost-Series and Almost-Parallel Systems
Statistical Prediction Based on Censored Life Data
Data Analysis and Graphics Using R: An Example-Based Approach
Editor's Report
Chemical Process Performance Evaluation
Individual Transition Label Noise Logistic Regression in Binary Classification for Incorrectly Labeled Data
Detection of Influential Observation in Linear Regression
Editorial: Special Issue on Industry 4.0
Robust Parameter Designs in Computer Experiments Using Stochastic Approximation
Multivariate Exponentially Weighted Moving Covariance Matrix
SPC for Short Run Manufacturing
Regularized Semiparametric Estimation for Ordinary Differential Equations
A Gaussian Process Emulator Based Approach for Bayesian Calibration of a Functional Input
Handbook of Item Response Theory: Applications (3)
Optimal Projective Three-Level Designs for Factor Screening and Interaction Detection
Just Enough Data Science and Machine Learning: by Mark Levene and Martyn Harris, Boston: Addison-Wesley, 2024, 224 pp., $49.99 (paperback), ISBN 978013 8340742
A Semiparametric Software Reliability Model for Analysis of a Bug-Database With Multiple Defect Types
Recursive Estimation of Dynamic Models Using Cook's Distance, With Application to Wind Energy Forecast
Sequential Change-Point Detection for Mutually Exciting Point Processes
Nonparametric Methods for Quantitative Analysis
Quality Improvement With Design of Experiments
Bayesian Sequential Design of Computer Experiments for Quantile Set Inversion
Gaussian Process Modeling of Heterogeneity and Discontinuities Using Voronoi Tessellations
Exploiting Structure of Maximum Likelihood Estimators for Extreme Value Threshold Selection
A General Framework for Robust Monitoring of Multivariate Correlated Processes
Optimal Foldover Plans for Two-Level Nonregular Orthogonal Designs
Linear Source Apportionment Using Generalized Least Squares
Elementary Probability With Applications
Statistics and Truth
Weibull Models
Gaussian Process-Aided Function Comparison Using Noisy Scattered Data
Efficient Blind Image Deblurring Using Nonparametric Regression and Local Pixel Clustering
Misused Statistics
Functional Samples and Bootstrap for Predicting Sulfur Dioxide Levels
Robust Low-Rank Tensor Decomposition with the L 2 Criterion
A Vine Copula Model for Predicting the Effectiveness of Cyber Defense Early-Warning
Computer Intensive Methods in Statistics
Measurement-Methods Comparisons and Linear Statistical Relationship
Some Risks in the Construction and Analysis of Supersaturated Designs