Michael W. Mahoney
- Chronos: Learning the Language of Time Series
2024/03/12 by Abdul Fatir Ansari, Ansari, Abdul Fatir, Lorenzo Stella +36 · 4 voices · 158 citations
Computer Science · Physics and Astronomy · #Time Series Analysis and Forecasting #Advanced Text Analysis Techniques #Historical Astronomy and Related Studies
- SqueezeLLM: Dense-and-Sparse Quantization
2023/06/13 by Sehoon Kim, Kim, Sehoon, Coleman Hooper +13 · 3 voices · 29 citations
Computer Science · #cs.CL #cs.LG
- KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
2024/01/31 by Coleman Hooper, Hooper, Coleman, Sehoon Kim +11 · 1 voice · 85 citations
#cs.LG
- A Survey of Quantization Methods for Efficient Neural Network Inference
2021/03/25 by Amir Gholami, Sehoon Kim, Gholami, Amir +9 · 75 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Medical Image Segmentation Techniques #Neural Networks and Applications #Stochastic Gradient Optimization Techniques
- Lecture Notes on Randomized Linear Algebra
2016/08/16 by Michael W. Mahoney, Mahoney, Michael W. · 1 voice · 2 citations
Computer Science · #Algorithms and Data Compression #Computability, Logic, AI Algorithms #cs.DS #semigroups and automata theory #stat.ML
- Fast approximation of matrix coherence and statistical leverage
2011/09/18 by Petros Drineas, Malik Magdon‐Ismail, Drineas, Petros +5 · 17 citations
Computer Science · Engineering · Mathematics · #Data Structures and Algorithms (cs.DS) #Discrete Mathematics (cs.DM) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques #Tensor decomposition and applications
- Speculative Decoding with Big Little Decoder
2023/02/15 by Sehoon Kim, Kim, Sehoon, Karttikeya Mangalam +10 · 27 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Speech Recognition and Synthesis #Topic Modeling
- A Fast Post-Training Pruning Framework for Transformers
2022/03/29 by Woosuk Kwon, Sehoon Kim, Kwon, Woosuk +9 · 20 citations
Computer Science · #Advanced Neural Network Applications #Generative Adversarial Networks and Image Synthesis #Domain Adaptation and Few-Shot Learning
- Revisiting the Nystrom Method for Improved Large-Scale Machine Learning
2013/03/07 by Alex Gittens, Gittens, Alex, Michael W. Mahoney +1 · 11 citations
Computer Science · Engineering · Mathematics · #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Markov Chains and Monte Carlo Methods #Numerical Analysis (math.NA) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
- The Sky Above The Clouds
2022/05/14 by Sarah Chasins, Chasins, Sarah, Alvin Cheung +32 · 2 voices
Business, Management and Accounting · Engineering · Computer Science · #Digital Platforms and Economics #Green IT and Sustainability #Cloud Computing and Resource Management
- AI and Memory Wall
2024/03/21 by Amir Gholami, Zhewei Yao, Gholami, Amir +9 · 25 citations
Engineering · #Distributed #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Hardware Architecture (cs.AR) #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)
- Randomized algorithms for matrices and data
2011/04/29 by Michael W. Mahoney, Mahoney, Michael W. · 12 citations
Computer Science · Engineering · Mathematics · #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Markov Chains and Monte Carlo Methods #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
- Relative-Error CUR Matrix Decompositions
2007/08/27 by Petros Drineas, Michael W. Mahoney, Drineas, Petros +3 · 7 citations
Computer Science · Mathematics · #Advanced Optimization Algorithms Research #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Matrix Theory and Algorithms #Polynomial and algebraic computation
- Determinantal Point Processes in Randomized Numerical Linear Algebra
2020/05/07 by Michał Dereziński, Michael W. Mahoney, Dereziński, Michał +1 · 1 voice · 9 citations
Computer Science · #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.DS #cs.LG
- A Statistical Perspective on Algorithmic Leveraging
2013/06/23 by Ping Ma, Ma, Ping, Michael W. Mahoney +3 · 8 citations
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistical Methods and Inference
- Neurotoxin: Durable Backdoors in Federated Learning
2022/06/12 by Zhengming Zhang, Ashwinee Panda, Zhang, Zhengming +13 · 10 citations
Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
- Lipschitz Recurrent Neural Networks
2020/06/22 by N. Benjamin Erichson, Omri Azencot, Erichson, N. Benjamin +7 · 8 citations
Computer Science · #Anomaly Detection Techniques and Applications #Neural Networks and Applications #Machine Learning in Healthcare
- GIANT: Globally Improved Approximate Newton Method for Distributed Optimization
2017/09/11 by Shusen Wang, Fred Roosta, Wang, Shusen +6 · 7 citations
Computer Science · Engineering · Mathematics · #Advanced Optimization Algorithms Research #Complexity and Algorithms in Graphs #Distributed #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Parallel #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
- Long Expressive Memory for Sequence Modeling
2021/10/10 by T. Konstantin Rusch, Rusch, T. Konstantin, Siddhartha Mishra +5 · 8 citations
Computer Science · Physics and Astronomy · #Computational Physics and Python Applications #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications
- Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs
2023/10/04 by Ilan Naiman, Naiman, Ilan, N. Benjamin Erichson +7 · 11 citations
Computer Science · Physics and Astronomy · #Generative Adversarial Networks and Image Synthesis #Model Reduction and Neural Networks #Time Series Analysis and Forecasting
- An Improved Approximation Algorithm for the Column Subset Selection Problem
2008/12/22 by Christos Boutsidis, Michael W. Mahoney, Boutsidis, Christos +3 · 4 citations
Computer Science · #Machine Learning and Algorithms #Optimization and Search Problems #Complexity and Algorithms in Graphs
- Faster Least Squares Approximation
2007/10/07 by Petros Drineas, Michael W. Mahoney, Drineas, Petros +5 · 5 citations
Computer Science · Engineering · #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Machine Learning and Algorithms #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
- Randomized Numerical Linear Algebra : A Perspective on the Field With an Eye to Software
2023/02/22 by Riley Murray, Murray, Riley, James Demmel +23 · 9 citations
Computer Science · Mathematics · #Stochastic Gradient Optimization Techniques #Tensor decomposition and applications #Parallel Computing and Optimization Techniques
- Adaptive Self-supervision Algorithms for Physics-informed Neural Networks
2022/07/08 by Shashank Subramanian, Robert Kirby, Subramanian, Shashank +5 · 7 citations
Physics and Astronomy · Computer Science · #Model Reduction and Neural Networks #Neural Networks and Reservoir Computing #Neural Networks and Applications
- Squeezed Attention: Accelerating Long Context Length LLM Inference
2024/11/14 by Coleman Hooper, Sehoon Kim, Hooper, Coleman +12 · 14 citations
Computer Science · #Natural Language Processing Techniques #Speech Recognition and Synthesis #Topic Modeling
- Lectures on Randomized Numerical Linear Algebra
2017/12/24 by Petros Drineas, Michael W. Mahoney, Drineas, Petros +1 · 1 voice · 1 citation
Computer Science · Mathematics · #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Machine Learning (stat.ML) #cs.DS #stat.ML
- Hessian-Aware Pruning and Optimal Neural Implant
2021/01/22 by Shixing Yu, Zhewei Yao, Yu, Shixing +10 · 5 citations
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences
- On the Computational Inefficiency of Large Batch Sizes for Stochastic Gradient Descent
2018/11/30 by Noah Golmant, Golmant, Noah, Nikita Vemuri +13 · 5 citations
Computer Science · #Advanced Neural Network Applications #Distributed #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Parallel #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
- ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training
2021/04/29 by Jianfei Chen, Chen, Jianfei, Lianmin Zheng +11 · 5 citations
Computer Science · Engineering · #Advanced Memory and Neural Computing #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Mitigating Memorization In Language Models
2024/10/03 by Mansi Sakarvadia, Aswathy Ajith, Sakarvadia, Mansi +15 · 3 voices · 2 citations
Computer Science · #Topic Modeling #cs.AI #cs.CL #cs.LG
- A Statistical Perspective on Randomized Sketching for Ordinary Least-Squares
2014/06/23 by Garvesh Raskutti, Michael W. Mahoney, Raskutti, Garvesh +1 · 3 citations
Engineering · Computer Science · #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques #Computational Geometry and Mesh Generation
- Continuous-in-Depth Neural Networks
2020/08/05 by Alejandro F. Queiruga, N. Benjamin Erichson, Queiruga, Alejandro F. +5 · 4 citations
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
- Fully Stochastic Trust-Region Sequential Quadratic Programming for Equality-Constrained Optimization Problems
2022/11/29 by Yuchen Fang, Sen Na, Fang, Yuchen +5 · 5 citations
Decision Sciences · Computer Science · Mathematics · #Risk and Portfolio Optimization #Optimization and Variational Analysis #Advanced Optimization Algorithms Research
- LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement
2024/03/22 by Lee, Nicholas, Thanakul Wattanawong, Sehoon Kim +13 · 7 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques
- Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels
2014/12/29 by Haim Avron, Avron, Haim, Vikas Sindhwani +5 · 3 citations
Mathematics · Medicine · Physics and Astronomy · #Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mathematical Approximation and Integration #Medical Imaging Techniques and Applications #Nuclear Physics and Applications #Numerical Analysis (math.NA)
- Localization on low-order eigenvectors of data matrices
2011/09/07 by Mihai Cucuringu, Cucuringu, Mihai, Michael W. Mahoney +1 · 3 citations
Computer Science · Engineering · Physics and Astronomy · #Chaos control and synchronization #Computational Engineering #Discrete Mathematics (cs.DM) #FOS: Computer and information sciences #Finance #Machine Learning (cs.LG) #Neural Networks and Applications #Optical Network Technologies #and Science (cs.CE)
- Sub-sampled Newton Methods with Non-uniform Sampling
2016/07/02 by Peng Xu, Jiyan Yang, Xu, Peng +7 · 4 citations
Computer Science · Engineering · Mathematics · #Advanced Optimization Algorithms Research #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
- Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning
2024/02/24 by Wuyang Chen, Chen, Wuyang, Jialin Song +9 · 5 citations
Computer Science · #Anomaly Detection Techniques and Applications #Target Tracking and Data Fusion in Sensor Networks
- SuperBench: A Super-Resolution Benchmark Dataset for Scientific Machine Learning
2023/06/24 by Pu Ren, Ren, Pu, N. Benjamin Erichson +10 · 4 citations
Computer Science · #Advanced Image Processing Techniques #Advanced Vision and Imaging #Image and Signal Denoising Methods
- Physics-informed Autoencoders for Lyapunov-stable Fluid Flow Prediction
2019/05/26 by N. Benjamin Erichson, Michael Muehlebach, Erichson, N. Benjamin +3 · 3 citations
Computer Science · Engineering · Physics and Astronomy · #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Fluid Dynamics and Turbulent Flows #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Model Reduction and Neural Networks
- Large batch size training of neural networks with adversarial training and second-order information
2018/10/02 by Zhewei Yao, Amir Gholami, Yao, Zhewei +11 · 2 citations
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Stochastic Gradient Optimization Techniques
- On the Hyperbolicity of Small-World and Tree-Like Random Graphs
2012/01/09 by Wei Chen, Wenjie Fang, Chen, Wei +5 · 2 citations
Computer Science · Physics and Astronomy · #Complex Network Analysis Techniques #Data Management and Algorithms #Discrete Mathematics (cs.DM) #FOS: Computer and information sciences #FOS: Physical sciences #Physics and Society (physics.soc-ph) #Social and Information Networks (cs.SI) #Topological and Geometric Data Analysis
- AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models
2024/10/14 by Haiquan Lu, Lu, Haiquan, Yefan Zhou +8 · 6 citations
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topic Modeling
- Hard Constraint Guided Flow Matching for Gradient-Free Generation of PDE Solutions
2024/12/02 by Chaoran Cheng, Cheng, Chaoran, Boran Han +11 · 6 citations
Engineering · #Advanced Control Systems Optimization #FOS: Computer and information sciences #Iterative Learning Control Systems #Machine Learning (cs.LG) #Reservoir Engineering and Simulation Methods
- A Statistical Framework for Low-bitwidth Training of Deep Neural Networks
2020/10/27 by Jianfei Chen, Chen, Jianfei, Yu Gai +7 · 2 citations
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Effective Resistances, Statistical Leverage, and Applications to Linear Equation Solving
2010/05/18 by Petros Drineas, Drineas, Petros, Michael W. Mahoney +1 · 1 citation
Computer Science · #Complexity and Algorithms in Graphs #FOS: Mathematics #Matrix Theory and Algorithms #Numerical Analysis (math.NA) #Stochastic Gradient Optimization Techniques
- The Fast Cauchy Transform and Faster Robust Linear Regression
2012/07/19 by Kenneth L. Clarkson, Petros Drineas, Clarkson, Kenneth L. +9 · 1 citation
Engineering · Mathematics · Computer Science · #Sparse and Compressive Sensing Techniques #Mathematical Approximation and Integration #Machine Learning and Algorithms
- Neural equilibria for long-term prediction of nonlinear conservation laws
2025/01/12 by Jose Antonio Lara Benitez, Benitez, J. Antonio Lara, Kareem Hegazy +9 · 5 citations
Computer Science · Engineering · Physics and Astronomy · #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Generative Adversarial Networks and Image Synthesis #Lattice Boltzmann Simulation Studies #Machine Learning (cs.LG) #Model Reduction and Neural Networks
- Unified Acceleration Method for Packing and Covering Problems via Diameter Reduction
2015/08/10 by Di Wang, Satish Rao, Wang, Di +3 · 1 citation
Computer Science · Engineering · #Complexity and Algorithms in Graphs #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #FOS: Mathematics #Numerical Analysis (math.NA) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
- MatterChat: A Multi-Modal LLM for Material Science
2025/02/18 by Yingheng Tang, Tang, Yingheng, Wenbin Xu +15 · 5 citations
Engineering · Materials Science · #Advanced Materials Characterization Techniques #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Mineral Processing and Grinding
- Multiplicative noise and heavy tails in stochastic optimization
2020/06/11 by Liam Hodgkinson, Michael W. Mahoney, Hodgkinson, Liam +1 · 2 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Statistics Theory (math.ST) #Stochastic Gradient Optimization Techniques
- QuantSpec: Self-Speculative Decoding with Hierarchical Quantized KV Cache
2025/02/05 by Tiwari, Rishabh, Haocheng Xi, Xi, Haocheng +16 · 6 citations
Computer Science · #Algorithms and Data Compression #Artificial Intelligence (cs.AI) #Cellular Automata and Applications #Error Correcting Code Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Second-Order Optimization for Non-Convex Machine Learning: An Empirical Study
2017/08/25 by Peng Xu, Farbod Roosta-Khorasani, Xu, Peng +3 · 1 citation
Computer Science · Engineering · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Numerical Analysis (math.NA) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
- Temperature Balancing, Layer-wise Weight Analysis, and Neural Network Training
2023/12/01 by Yefan Zhou, Zhou, Yefan, Tianyu Pang +9 · 2 citations
Computer Science · Materials Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science
- Minimax experimental design: Bridging the gap between statistical and worst-case approaches to least squares regression
2019/02/04 by Michał Dereziński, Kenneth L. Clarkson, Dereziński, Michał +5 · 1 citation
Computer Science · #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
- LSAR: Efficient Leverage Score Sampling Algorithm for the Analysis of Big Time Series Data
2019/11/27 by Ali Eshragh, Fred Roosta, Eshragh, Ali +5 · 1 citation
Computer Science · Mathematics · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML) #Methodology (stat.ME) #Neural Networks and Applications #Statistical Methods and Inference
- Robustifying State-space Models for Long Sequences via Approximate Diagonalization
2023/10/02 by Annan Yu, Yu, Annan, Arnur Nigmetov +7 · 2 citations
Computer Science · Engineering · #Blind Source Separation Techniques #Advanced Memory and Neural Computing #Wireless Signal Modulation Classification
- Sparse sketches with small inversion bias
2020/11/21 by Michał Dereziński, Zhenyu Liao, Dereziński, Michał +5 · 1 citation
Engineering · Mathematics · Computer Science · #Sparse and Compressive Sensing Techniques #Random Matrices and Applications #Stochastic Gradient Optimization Techniques
- LEAP: Learnable Pruning for Transformer-based Models
2021/05/30 by Zhewei Yao, Xiaoxia Wu, Yao, Zhewei +11 · 1 citation
Computer Science · #Computation and Language (cs.CL) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
- Post-mortem on a deep learning contest: a Simpson's paradox and the\n complementary roles of scale metrics versus shape metrics
2021/06/01 by Charles H. Martin, Michael W. Mahoney, Martin, Charles H. +1 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Neural Networks and Applications
- NoisyMix: Boosting Model Robustness to Common Corruptions
2022/02/02 by N. Benjamin Erichson, Erichson, N. Benjamin, Soon Hoe Lim +9 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Inexact Non-Convex Newton-Type Methods
2018/02/20 by Zhewei Yao, Peng Xu, Yao, Zhewei +5 · 1 citation
Computer Science · Engineering · #FOS: Mathematics #Machine Learning and Algorithms #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
- Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization
2024/12/06 by Luca Masserano, Abdul Fatir Ansari, Masserano, Luca +19 · 3 citations
Computer Science · Decision Sciences · #Time Series Analysis and Forecasting #Stock Market Forecasting Methods #Neural Networks and Applications
- The Interpolating Information Criterion for Overparameterized Models
2023/07/15 by Liam Hodgkinson, Hodgkinson, Liam, Chris van der Heide +7 · 2 citations
Mathematics · Computer Science · #Statistical Methods and Inference #Bayesian Methods and Mixture Models #Statistical Methods and Bayesian Inference
- Multipole Attention for Efficient Long Context Reasoning
2025/06/16 by Coleman Hooper, Hooper, Coleman, Zhao, Sebastian +11 · 3 citations
Computer Science · Engineering · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Geophysical Methods and Applications #Indoor and Outdoor Localization Technologies #Machine Learning (cs.LG) #Speech Recognition and Synthesis
- CholeskyQR with Randomization and Pivoting for Tall Matrices (CQRRPT)
2023/11/14 by Maksim Melnichenko, Melnichenko, Maksim, Oleg Balabanov +9 · 1 citation
Computer Science · Physics and Astronomy · Mathematics · #Matrix Theory and Algorithms #Advanced Mathematical Theories and Applications #Graph theory and applications
- Optimal Subsampling Approaches for Large Sample Linear Regression
2015/09/17 by Rong Zhu, Ping Ma, Zhu, Rong +5 · 1 citation
Computer Science · Engineering · #Machine Learning and Algorithms #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
- A Statistical Framework for Ranking LLM-Based Chatbots
2024/12/24 by Siavash Ameli, Ameli, Siavash, Siyuan Zhuang +5 · 1 voice · 1 citation
Computer Science · #AI in Service Interactions #cs.AI #cs.LG #stat.ML
- Stochastic Normalizing Flows
2020/02/21 by Liam Hodgkinson, Hodgkinson, Liam, Chris van der Heide +5 · 2 citations
Physics and Astronomy · Computer Science · #Model Reduction and Neural Networks #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis
- Improving Semi-supervised Federated Learning by Reducing the Gradient Diversity of Models
2020/08/26 by Zhengming Zhang, Zhang, Zhengming, Yaoqing Yang +9 · 1 citation
Computer Science · #FOS: Computer and information sciences #Internet Traffic Analysis and Secure E-voting #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mobile Crowdsensing and Crowdsourcing #Privacy-Preserving Technologies in Data
- LossLens: Diagnostics for Machine Learning through Loss Landscape Visual Analytics
2024/12/17 by Tiankai Xie, Xie, Tiankai, Jiaqing Chen +19 · 1 citation
Computer Science · #Data Analysis with R
- Recency Biased Causal Attention for Time-series Forecasting
2025/02/10 by Kareem Hegazy, Hegazy, Kareem, Michael W. Mahoney +3 · 1 citation
Computer Science · Engineering · #Neural Networks and Applications #Time Series Analysis and Forecasting #Fault Detection and Control Systems
- LatentFlow: Visual Analytics for Latent Space Analysis in Molecular Graph Neural Networks
2026/07/24 by Shiyi Liu, Jiaqing Chen, Nicholas Hadler +6
#cs.LG #cs.HC