The Information Geometry of Mirror Descent

29 October 2013

Papers citing "The Information Geometry of Mirror Descent"

50 / 70 papers shown

Title
Spike-timing-dependent Hebbian learning as noisy gradient descent Niklas Dexheimer Sascha Gaudlitz Johannes Schmidt-Hieber 25 0 0 15 May 2025
Estimating Long-term Heterogeneous Dose-response Curve: Generalization Bound Leveraging Optimal Transport Weights Zeqin Yang Weilin Chen Ruichu Cai Yuguang Yan Zhifeng Hao Zhipeng Yu Zhichao Zou Jixing Xu Zhen Peng Jiecheng Guo 61 3 0 27 Jun 2024
Theoretical Guarantees for Variational Inference with Fixed-Variance Mixture of Gaussians Tom Huix Anna Korba Alain Durmus Eric Moulines 33 7 0 06 Jun 2024
Understanding Stochastic Natural Gradient Variational Inference Kaiwen Wu Jacob R. Gardner BDL 56 1 0 04 Jun 2024
Keep the Momentum: Conservation Laws beyond Euclidean Gradient Flows Sibylle Marcotte Rémi Gribonval Gabriel Peyré 26 0 0 21 May 2024
Accelerating Convergence in Bayesian Few-Shot Classification Tianjun Ke Haoqun Cao Feng Zhou 35 0 0 02 May 2024
Riemannian stochastic optimization methods avoid strict saddle points Ya-Ping Hsieh Mohammad Reza Karimi Andreas Krause P. Mertikopoulos 30 5 0 04 Nov 2023
Information Geometry for the Working Information Theorist Kumar Vijay Ashok Kumar Ieee Ting-Kam Leonard Member AI4CE 34 0 0 05 Oct 2023
A Fisher-Rao gradient flow for entropy-regularised Markov decision processes in Polish spaces B. Kerimkulov J. Leahy David Siska Lukasz Szpruch Yufei Zhang 23 7 0 04 Oct 2023
Acceleration in Policy Optimization Veronica Chelu Tom Zahavy A. Guez Doina Precup Sebastian Flennerhag 43 0 0 18 Jun 2023
Learning Discretized Neural Networks under Ricci Flow Jun Chen Han Chen Mengmeng Wang Guang Dai Ivor W. Tsang Yong-Jin Liu 25 2 0 07 Feb 2023
Mirror descent of Hopfield model Hyungjoon Soh D. Kim Juno Hwang Junghyo Jo 17 0 0 29 Nov 2022
Information Geometry of Dynamics on Graphs and Hypergraphs Tetsuya J. Kobayashi Dimitri Loutchko A. Kamimura Shuhei A. Horiguchi Yuki Sughiyama AI4CE 17 10 0 26 Nov 2022
Regularized Rényi divergence minimization through Bregman proximal gradient algorithms Thomas Guilmeau Émilie Chouzenoux Victor Elvira 31 3 0 09 Nov 2022
Stochastic Mirror Descent in Average Ensemble Models Taylan Kargin Fariborz Salehi B. Hassibi 21 1 0 27 Oct 2022
Robust Imitation via Mirror Descent Inverse Reinforcement Learning Dong-Sig Han Hyunseok Kim Hyun-Dong Lee Je-hwan Ryu Byoung-Tak Zhang 28 2 0 20 Oct 2022
Linear Convergence for Natural Policy Gradient with Log-linear Policy Parametrization Carlo Alfano Patrick Rebeschini 51 13 0 30 Sep 2022
Conformal Mirror Descent with Logarithmic Divergences Amanjit Kainth Ting-Kam Leonard Wong Frank Rudzicz 20 4 0 07 Sep 2022
Conjugate Natural Selection Reilly P. Raab Luca de Alfaro Yang Liu 18 0 0 29 Aug 2022
Density-Aware Personalized Training for Risk Prediction in Imbalanced Medical Data Zepeng Huo Xiaoning Qian Shuai Huang Zhangyang Wang Bobak J. Mortazavi OOD 14 3 0 23 Jul 2022
Bregman Power k-Means for Clustering Exponential Family Data Adithya Vellal Saptarshi Chakraborty Jason Xu 22 6 0 22 Jun 2022
First-Order Algorithms for Min-Max Optimization in Geodesic Metric Spaces Michael I. Jordan Tianyi Lin Emmanouil-Vasileios Vlatakis-Gkaragkounis 27 19 0 04 Jun 2022
Importance Weighted Structure Learning for Scene Graph Generation Daqing Liu M. Bober J. Kittler 24 5 0 14 May 2022
Partitioned Variational Inference: A Framework for Probabilistic Federated Learning Matthew Ashman T. Bui Cuong V Nguyen Efstratios Markou Adrian Weller S. Swaroop Richard Turner FedML 19 12 0 24 Feb 2022
Entropic trust region for densest crystallographic symmetry group packings M. Torda John Y. Goulermas Roland Púcek V. Kurlin 17 2 0 24 Feb 2022
A Geometric Understanding of Natural Gradient Qinxun Bai S. Rosenberg Wei Xu 21 2 0 13 Feb 2022
Constrained Structure Learning for Scene Graph Generation Daqing Liu M. Bober J. Kittler 3DV CML BDL OCL 58 7 0 27 Jan 2022
Natural Gradient Variational Inference with Gaussian Mixture Models F. Mahdisoltani BDL 13 1 0 15 Nov 2021
The Information Geometry of Unsupervised Reinforcement Learning Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine SSL OffRL 61 31 0 06 Oct 2021
Approximate Newton policy gradient algorithms Haoya Li Samarth Gupta Hsiangfu Yu Lexing Ying Inderjit Dhillon 45 2 0 05 Oct 2021
FGOT: Graph Distances based on Filters and Optimal Transport Hermina Petric Maretic Mireille El Gheche Giovanni Chierchia P. Frossard OT 22 17 0 09 Sep 2021
Provable Benefits of Actor-Critic Methods for Offline Reinforcement Learning Andrea Zanette Martin J. Wainwright Emma Brunskill OffRL 29 111 0 19 Aug 2021
The Bayesian Learning Rule Mohammad Emtiyaz Khan Håvard Rue BDL 57 73 0 09 Jul 2021
Sampling with Mirrored Stein Operators Jiaxin Shi Chang-rui Liu Lester W. Mackey 45 19 0 23 Jun 2021
On the Linear convergence of Natural Policy Gradient Algorithm S. Khodadadian P. Jhunjhunwala Sushil Mahavir Varma S. T. Maguluri 32 56 0 04 May 2021
Finite Sample Analysis of Two-Time-Scale Natural Actor-Critic Algorithm S. Khodadadian Thinh T. Doan J. Romberg S. T. Maguluri 25 42 0 26 Jan 2021
Mirror-Descent Inverse Kinematics for Box-constrained Joint Space Taisuke Kobayashi Takanori Jin 38 2 0 19 Jan 2021
Sparse Representations of Positive Functions via First and Second-Order Pseudo-Mirror Descent A. Chakraborty K. Rajawat Alec Koppel 16 3 0 13 Nov 2020
Homeomorphic-Invariance of EM: Non-Asymptotic Convergence in KL Divergence for Exponential Families via Mirror Descent Frederik Kunstner Raunak Kumar Mark W. Schmidt 33 21 0 02 Nov 2020
Better Fine-Tuning by Reducing Representational Collapse Armen Aghajanyan Akshat Shrivastava Anchit Gupta Naman Goyal Luke Zettlemoyer S. Gupta AAML 41 209 0 06 Aug 2020
On Linear Convergence of Policy Gradient Methods for Finite MDPs Jalaj Bhandari Daniel Russo 57 59 0 21 Jul 2020
Competitive Mirror Descent F. Schafer Anima Anandkumar H. Owhadi 15 12 0 17 Jun 2020
Mirrorless Mirror Descent: A Natural Derivation of Mirror Descent Suriya Gunasekar Blake E. Woodworth Nathan Srebro MDE 13 28 0 02 Apr 2020
Training Binary Neural Networks using the Bayesian Learning Rule Xiangming Meng Roman Bachmann Mohammad Emtiyaz Khan BDL MQ 30 40 0 25 Feb 2020
Reparameterizing Mirror Descent as Gradient Descent Ehsan Amid Manfred K. Warmuth OOD 13 3 0 24 Feb 2020
Dual Stochastic Natural Gradient Descent and convergence of interior half-space gradient approximations Borja Sánchez-López J. Cerquides 14 1 0 19 Jan 2020
A Fully Natural Gradient Scheme for Improving Inference of the Heterogeneous Multi-Output Gaussian Process Model Juan J. Giraldo Mauricio A. Alvarez BDL 13 4 0 22 Nov 2019
SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization Haoming Jiang Pengcheng He Weizhu Chen Xiaodong Liu Jianfeng Gao T. Zhao 24 558 0 08 Nov 2019
Black-box Optimizer with Implicit Natural Gradient Yueming Lyu Ivor W. Tsang 22 0 0 09 Oct 2019
Hopfield Neural Network Flow: A Geometric Viewpoint A. Halder Kenneth F. Caluya Bertrand Travacca S. Moura 15 10 0 04 Aug 2019