An Introduction to Matrix Concentration Inequalities

7 January 2015

Papers citing "An Introduction to Matrix Concentration Inequalities"

50 / 193 papers shown

Title
A Unified Theoretical Analysis of Private and Robust Offline Alignment: from RLHF to DPO Xingyu Zhou Yulian Wu Francesco Orabona OffRL 14 0 0 21 May 2025
Contextual Online Uncertainty-Aware Preference Learning for Human Feedback Nan Lu Ethan X. Fang Junwei Lu 233 0 0 27 Apr 2025
Preconditioned Gradient Descent for Over-Parameterized Nonconvex Matrix Factorization G. Zhang S. Fattahi Richard Y. Zhang 49 36 0 13 Apr 2025
Linear Bandits with Partially Observable Features Wonyoung Hedge Kim Sungwoo Park G. Iyengar A. Zeevi Min Hwan Oh 67 0 0 10 Feb 2025
Position: Curvature Matrices Should Be Democratized via Linear Operators Felix Dangel Runa Eschenhagen Weronika Ormaniec Andres Fernandez Lukas Tatzel Agustinus Kristiadi 69 3 0 31 Jan 2025
Pairwise Comparisons without Stochastic Transitivity: Model, Theory and Applications Sze Ming Lee Yunxiao Chen 44 0 0 13 Jan 2025
Adaptive Batch Size for Privately Finding Second-Order Stationary Points Daogao Liu Kunal Talwar 215 0 0 10 Oct 2024
Provably Accurate Shapley Value Estimation via Leverage Score Sampling Christopher Musco R. Teal Witter FAtt FedML TDI 55 2 0 02 Oct 2024
Transformers Handle Endogeneity in In-Context Linear Regression Haodong Liang Krishnakumar Balasubramanian Lifeng Lai 48 1 0 02 Oct 2024
Leveraging Unlabeled Data Sharing through Kernel Function Approximation in Offline Reinforcement Learning Yen-Ru Lai Fu-Chieh Chang Pei-Yuan Wu OffRL 81 1 0 22 Aug 2024
A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits Junghyun Lee Se-Young Yun Kwang-Sung Jun 40 4 0 19 Jul 2024
Loss Gradient Gaussian Width based Generalization and Optimization Guarantees A. Banerjee Qiaobo Li Yingxue Zhou 52 0 0 11 Jun 2024
Gaussian Approximation and Multiplier Bootstrap for Polyak-Ruppert Averaged Linear Stochastic Approximation with Applications to TD Learning S. Samsonov Eric Moulines Qi-Man Shao Zhuo-Song Zhang Alexey Naumov 33 4 0 26 May 2024
Generalized Linear Bandits with Limited Adaptivity Ayush Sawarni Nirjhar Das Siddharth Barman Gaurav Sinha 42 3 0 10 Apr 2024
Preventing Model Collapse in Gaussian Process Latent Variable Models Ying Li Zhidi Lin Feng Yin Michael Minyi Zhang VLM 37 1 0 02 Apr 2024
Top- $K$ ranking with a monotone adversary Yuepeng Yang Antares Chen Lorenzo Orecchia Cong Ma 37 1 0 12 Feb 2024
Generalization Error Curves for Analytic Spectral Algorithms under Power-law Decay Yicheng Li Weiye Gan Zuoqiang Shi Qian Lin 41 5 0 03 Jan 2024
Weighted least-squares approximation with determinantal point processes and generalized volume sampling A. Nouy Bertrand Michel 18 3 0 21 Dec 2023
High Probability Guarantees for Random Reshuffling Hengxu Yu Xiao Li 47 2 0 20 Nov 2023
Blind Federated Learning via Over-the-Air q-QAM Saeed Razavikia José Hélio da Cruz Júnior Carlo Fischione 50 4 0 07 Nov 2023
Farzi Data: Autoregressive Data Distillation Noveen Sachdeva Zexue He Wang-Cheng Kang Jianmo Ni D. Cheng Julian McAuley DD 35 3 0 15 Oct 2023
On Robust Recovery of Signals from Indirect Observations Yannis Bekri A. Juditsky A. Nemirovski 23 2 0 12 Sep 2023
The Relative Gaussian Mechanism and its Application to Private Gradient Descent Hadrien Hendrikx Paul Mangold A. Bellet 38 1 0 29 Aug 2023
High Dimensional Distributed Gradient Descent with Arbitrary Number of Byzantine Attackers Puning Zhao Zhiguo Wan OOD FedML 50 4 0 25 Jul 2023
Partial Inference in Structured Prediction Chuyang Ke Jean Honorio 23 0 0 06 Jun 2023
High-probability sample complexities for policy evaluation with linear function approximation Gen Li Weichen Wu Yuejie Chi Cong Ma Alessandro Rinaldo Yuting Wei OffRL 38 7 0 30 May 2023
ReSync: Riemannian Subgradient-based Robust Rotation Synchronization Huikang Liu Xiao Li Anthony Man-Cho So 32 3 0 24 May 2023
Stochastic Nonlinear Control via Finite-dimensional Spectral Dynamic Embedding Tongzheng Ren Zhaolin Ren Haitong Ma Na Li Bo Dai 30 10 0 08 Apr 2023
Score Attack: A Lower Bound Technique for Optimal Differentially Private Learning T. Tony Cai Yichen Wang Linjun Zhang 46 16 0 13 Mar 2023
Deflated HeteroPCA: Overcoming the curse of ill-conditioning in heteroskedastic PCA Yuchen Zhou Yuxin Chen 45 4 0 10 Mar 2023
Learning Hidden Markov Models Using Conditional Samples Sham Kakade A. Krishnamurthy G. Mahajan Cyril Zhang 23 6 0 28 Feb 2023
Gauss-Newton Temporal Difference Learning with Nonlinear Function Approximation Zhifa Ke Junyu Zhang Zaiwen Wen 24 0 0 25 Feb 2023
Dynamic Regret Analysis of Safe Distributed Online Optimization for Convex and Non-convex Problems Ting-Jui Chang Sapana Chaudhary D. Kalathil Shahin Shahrampour 28 5 0 23 Feb 2023
Unified Convergence Theory of Stochastic and Variance-Reduced Cubic Newton Methods El Mahdi Chayti N. Doikov Martin Jaggi ODL 29 6 0 23 Feb 2023
Faster Riemannian Newton-type Optimization by Subsampling and Cubic Regularization Yian Deng Tingting Mu 28 1 0 22 Feb 2023
Private (Stochastic) Non-Convex Optimization Revisited: Second-Order Stationary Points and Excess Risks Arun Ganesh Daogao Liu Sewoong Oh Abhradeep Thakurta ODL 34 13 0 20 Feb 2023
Similarity, Compression and Local Steps: Three Pillars of Efficient Communications for Distributed Variational Inequalities Aleksandr Beznosikov Martin Takáč Alexander Gasnikov 31 10 0 15 Feb 2023
Multi-task Representation Learning for Pure Exploration in Linear Bandits Yihan Du Longbo Huang Wen Sun 27 4 0 09 Feb 2023
The SSL Interplay: Augmentations, Inductive Bias, and Generalization Vivien A. Cabannes B. Kiani Randall Balestriero Yann LeCun A. Bietti SSL 29 31 0 06 Feb 2023
Using Intermediate Forward Iterates for Intermediate Generator Optimization Harshit Mishra Jurijs Nazarovs Manmohan Dogra Sathya Ravi DiffM 27 0 0 05 Feb 2023
Combinatorial Inference on the Optimal Assortment in Multinomial Logit Models Shuting Shen Xi Chen Ethan X. Fang Junwei Lu 25 2 0 28 Jan 2023
A Distribution Free Truncated Kernel Ridge Regression Estimator and Related Spectral Analyses Asma Ben Saber Abderrazek Karoui 15 1 0 17 Jan 2023
Matching calipers and the precision of index estimation B. Hansen 15 0 0 10 Jan 2023
Quantizing Heavy-tailed Data in Statistical Estimation: (Near) Minimax Rates, Covariate Quantization, and Uniform Recovery Junren Chen Michael Kwok-Po Ng Di Wang MQ 28 13 0 30 Dec 2022
Synthetic Principal Component Design: Fast Covariate Balancing with Synthetic Controls Yiping Lu Jiajin Li Lexing Ying Jose H. Blanchet 19 2 0 28 Nov 2022
Perfect Sampling from Pairwise Comparisons Dimitris Fotakis Alkis Kalavasis Christos Tzamos 26 3 0 23 Nov 2022
Mutual Information Learned Regressor: an Information-theoretic Viewpoint of Training Regression Systems Jirong Yi Q. Zhang Zhengbo Chen Qiaoan Liu Weizhuo Shao Yusen He Yao Wang SSL 30 0 0 23 Nov 2022
A Generalized Latent Factor Model Approach to Mixed-data Matrix Completion with Entrywise Consistency Yunxiao Chen Xiaoou Li 29 0 0 17 Nov 2022
Spectral Regularization Allows Data-frugal Learning over Combinatorial Spaces Amirali Aghazadeh Nived Rajaraman Tony Tu Kannan Ramchandran 27 2 0 05 Oct 2022
Improved covariance estimation: optimal robustness and sub-Gaussian guarantees under heavy tails R. I. Oliveira Zoraida F. Rico 38 10 0 27 Sep 2022