Saved in:
| Main Authors: | Hafshejani, Reza Sadeghi, Fradonbeh, Mohamad Kazem Shirani |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2409.11327 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Analysis of Thompson Sampling for Controlling Unknown Linear Diffusion Processes
by: Faradonbeh, Mohamad Kazem Shirani, et al.
Published: (2022)
by: Faradonbeh, Mohamad Kazem Shirani, et al.
Published: (2022)
Joint Learning of Linear Time-Invariant Dynamical Systems
by: Modi, Aditya, et al.
Published: (2021)
by: Modi, Aditya, et al.
Published: (2021)
Thompson Sampling in Partially Observable Contextual Bandits
by: Park, Hongju, et al.
Published: (2024)
by: Park, Hongju, et al.
Published: (2024)
Causal Effects with Unobserved Unit Types in Interacting Human-AI Systems
by: Overman, William, et al.
Published: (2026)
by: Overman, William, et al.
Published: (2026)
New logarithmic step size for stochastic gradient descent
by: Shamaee, M. Soheil, et al.
Published: (2024)
by: Shamaee, M. Soheil, et al.
Published: (2024)
Causal Message Passing for Experiments with Unknown and General Network Interference
by: Shirani, Sadegh, et al.
Published: (2023)
by: Shirani, Sadegh, et al.
Published: (2023)
Factorized Explainer for Graph Neural Networks
by: Huang, Rundong, et al.
Published: (2023)
by: Huang, Rundong, et al.
Published: (2023)
On Evolution-Based Models for Experimentation Under Interference
by: Shirani, Sadegh, et al.
Published: (2025)
by: Shirani, Sadegh, et al.
Published: (2025)
LightSplit: Practical Privacy-Preserving Split Learning via Orthogonal Projections
by: Cihangiroglu, Mert, et al.
Published: (2026)
by: Cihangiroglu, Mert, et al.
Published: (2026)
Universality in Transfer Learning for Linear Models
by: Ghane, Reza, et al.
Published: (2024)
by: Ghane, Reza, et al.
Published: (2024)
Predicting the Impact of Scope Changes on Project Cost and Schedule Using Machine Learning Techniques
by: Sadeghi, Soheila
Published: (2024)
by: Sadeghi, Soheila
Published: (2024)
Fill-and-Spill: Deep Reinforcement Learning Policy Gradient Methods for Reservoir Operation Decision and Control
by: Tabas, Sadegh Sadeghi, et al.
Published: (2024)
by: Tabas, Sadegh Sadeghi, et al.
Published: (2024)
Neural Isomorphic Fields: A Transformer-based Algebraic Numerical Embedding
by: Sadeghi, Hamidreza, et al.
Published: (2026)
by: Sadeghi, Hamidreza, et al.
Published: (2026)
TimeX++: Learning Time-Series Explanations with Information Bottleneck
by: Liu, Zichuan, et al.
Published: (2024)
by: Liu, Zichuan, et al.
Published: (2024)
Walma: Learning to See Memory Corruption in WebAssembly
by: Draissi, Oussama, et al.
Published: (2026)
by: Draissi, Oussama, et al.
Published: (2026)
One for All and All for One: GNN-based Control-Flow Attestation for Embedded Devices
by: Chilese, Marco, et al.
Published: (2024)
by: Chilese, Marco, et al.
Published: (2024)
FreqFed: A Frequency Analysis-Based Approach for Mitigating Poisoning Attacks in Federated Learning
by: Fereidooni, Hossein, et al.
Published: (2023)
by: Fereidooni, Hossein, et al.
Published: (2023)
Truncated Polynomial Expansion-Based Detection in Massive MIMO: A Model-Driven Deep Learning Approach
by: Izadinasab, Kazem, et al.
Published: (2024)
by: Izadinasab, Kazem, et al.
Published: (2024)
Continuous-Time Piecewise-Linear Recurrent Neural Networks
by: Brändle, Alena, et al.
Published: (2026)
by: Brändle, Alena, et al.
Published: (2026)
Any-Time Regret-Guaranteed Algorithm for Control of Linear Quadratic Systems
by: Chekan, Jafar Abbaszadeh, et al.
Published: (2024)
by: Chekan, Jafar Abbaszadeh, et al.
Published: (2024)
Learning-Enhanced Observer for Linear Time-Invariant Systems with Parametric Uncertainty
by: Shu, Hao
Published: (2025)
by: Shu, Hao
Published: (2025)
Chem-NMF: Multi-layer $α$-divergence Non-Negative Matrix Factorization for Cardiorespiratory Disease Clustering, with Improved Convergence Inspired by Chemical Catalysts and Rigorous Asymptotic Analysis
by: Torabi, Yasaman, et al.
Published: (2025)
by: Torabi, Yasaman, et al.
Published: (2025)
QuPCG: Quantum Convolutional Neural Network for Detecting Abnormal Patterns in PCG Signals
by: Torabi, Yasaman, et al.
Published: (2025)
by: Torabi, Yasaman, et al.
Published: (2025)
Mutual Information Optimal Control of Discrete-Time Linear Systems
by: Enami, Shoju, et al.
Published: (2025)
by: Enami, Shoju, et al.
Published: (2025)
DeepEclipse: How to Break White-Box DNN-Watermarking Schemes
by: Pegoraro, Alessandro, et al.
Published: (2024)
by: Pegoraro, Alessandro, et al.
Published: (2024)
NeST: Neuron Selective Tuning for LLM Safety
by: Behrouzi, Sasha, et al.
Published: (2026)
by: Behrouzi, Sasha, et al.
Published: (2026)
Understanding Forgetting in Continual Learning with Linear Regression
by: Ding, Meng, et al.
Published: (2024)
by: Ding, Meng, et al.
Published: (2024)
Sequence-to-Sequence Multi-Modal Speech In-Painting
by: Elyaderani, Mahsa Kadkhodaei, et al.
Published: (2024)
by: Elyaderani, Mahsa Kadkhodaei, et al.
Published: (2024)
Robust Multi-Modal Speech In-Painting: A Sequence-to-Sequence Approach
by: Elyaderani, Mahsa Kadkhodaei, et al.
Published: (2024)
by: Elyaderani, Mahsa Kadkhodaei, et al.
Published: (2024)
Enhancing Project Performance Forecasting using Machine Learning Techniques
by: Sadeghi, Soheila
Published: (2024)
by: Sadeghi, Soheila
Published: (2024)
Persistent Backdoor Attacks in Continual Learning
by: Guo, Zhen, et al.
Published: (2024)
by: Guo, Zhen, et al.
Published: (2024)
Forward-Backward Knowledge Distillation for Continual Clustering
by: Sadeghi, Mohammadreza, et al.
Published: (2024)
by: Sadeghi, Mohammadreza, et al.
Published: (2024)
System Identification for Continuous-time Linear Dynamical Systems
by: Halmos, Peter, et al.
Published: (2023)
by: Halmos, Peter, et al.
Published: (2023)
Controllable Continual Test-Time Adaptation
by: Shi, Ziqi, et al.
Published: (2024)
by: Shi, Ziqi, et al.
Published: (2024)
Causal Representation Learning on High-Dimensional Data: Benchmarks, Reproducibility, and Evaluation Metrics
by: Sadeghi, Alireza, et al.
Published: (2026)
by: Sadeghi, Alireza, et al.
Published: (2026)
Continuous-Time Linear Positional Embedding for Irregular Time Series Forecasting
by: Kim, Byunghyun, et al.
Published: (2024)
by: Kim, Byunghyun, et al.
Published: (2024)
Locally Linear Continual Learning for Time Series based on VC-Theoretical Generalization Bounds
by: Ferreira, Yan V. G., et al.
Published: (2026)
by: Ferreira, Yan V. G., et al.
Published: (2026)
Impact of Computation in Integral Reinforcement Learning for Continuous-Time Control
by: Cao, Wenhan, et al.
Published: (2024)
by: Cao, Wenhan, et al.
Published: (2024)
Explanation-Preserving Augmentation for Semi-Supervised Graph Representation Learning
by: Chen, Zhuomin, et al.
Published: (2024)
by: Chen, Zhuomin, et al.
Published: (2024)
RAVQ-HoloNet: Rate-Adaptive Vector-Quantized Hologram Compression
by: Rafiei, Shima, et al.
Published: (2025)
by: Rafiei, Shima, et al.
Published: (2025)
Similar Items
-
Analysis of Thompson Sampling for Controlling Unknown Linear Diffusion Processes
by: Faradonbeh, Mohamad Kazem Shirani, et al.
Published: (2022) -
Joint Learning of Linear Time-Invariant Dynamical Systems
by: Modi, Aditya, et al.
Published: (2021) -
Thompson Sampling in Partially Observable Contextual Bandits
by: Park, Hongju, et al.
Published: (2024) -
Causal Effects with Unobserved Unit Types in Interacting Human-AI Systems
by: Overman, William, et al.
Published: (2026) -
New logarithmic step size for stochastic gradient descent
by: Shamaee, M. Soheil, et al.
Published: (2024)