Practical Bayesian Optimization of Machine Learning Algorithms

13 June 2012

Papers citing "Practical Bayesian Optimization of Machine Learning Algorithms"

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Title
A Unified Stochastic Gradient Approach to Designing Bayesian-Optimal Experiments Adam Foster M. Jankowiak M. O'Meara Yee Whye Teh Tom Rainforth BDL 24 59 0 01 Nov 2019
Learning Hawkes Processes from a Handful of Events Farnood Salehi W. Trouleau Matthias Grossglauser Patrick Thiran BDL CML 21 36 0 01 Nov 2019
Safe Exploration for Interactive Machine Learning M. Turchetta Felix Berkenkamp Andreas Krause 22 87 0 30 Oct 2019
Bayesian Optimization with Unknown Search Space Huong Ha Santu Rana Sunil R. Gupta Thanh Nguyen Hung The Tran Svetha Venkatesh 25 22 0 29 Oct 2019
Efficiently avoiding saddle points with zero order methods: No gradients required Lampros Flokas Emmanouil-Vasileios Vlatakis-Gkaragkounis Georgios Piliouras 28 32 0 29 Oct 2019
Certified Adversarial Robustness for Deep Reinforcement Learning Björn Lütjens Michael Everett Jonathan P. How AAML 22 91 0 28 Oct 2019
Evaluating Lottery Tickets Under Distributional Shifts Shrey Desai Hongyuan Zhan Ahmed Aly UQCV OOD 21 41 0 28 Oct 2019
Prior Specification for Bayesian Matrix Factorization via Prior Predictive Matching Eliezer de Souza da Silva Tomasz Kuśmierczyk M. Hartmann Arto Klami 30 2 0 27 Oct 2019
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search Colin White Willie Neiswanger Yash Savani BDL 53 314 0 25 Oct 2019
A Simple Dynamic Learning Rate Tuning Algorithm For Automated Training of DNNs Koyel Mukherjee Alind Khare Ashish Verma 27 15 0 25 Oct 2019
Auto-Model: Utilizing Research Papers and HPO Techniques to Deal with the CASH problem Chunnan Wang Hongzhi Wang Tianyu Mu Jianzhong Li Hong Gao 15 10 0 24 Oct 2019
Intensity-Based Feature Selection for Near Real-Time Damage Diagnosis of Building Structures S. Sajedi X. Liang 11 12 0 23 Oct 2019
Dynamic Subgoal-based Exploration via Bayesian Optimization Yijia Wang Matthias Poloczek Daniel R. Jiang 34 3 0 21 Oct 2019
Utilising Low Complexity CNNs to Lift Non-Local Redundancies in Video Coding Jan P. Klopp Liang-Gee Chen Shao-Yi Chien 31 11 0 19 Oct 2019
MARTHE: Scheduling the Learning Rate Via Online Hypergradients Michele Donini Luca Franceschi Massimiliano Pontil Orchid Majumder P. Frasconi 27 7 0 18 Oct 2019
Learning Compositional Koopman Operators for Model-Based Control Yunzhu Li Hao He Jiajun Wu Dina Katabi Antonio Torralba 37 113 0 18 Oct 2019
A Unified Framework for Tuning Hyperparameters in Clustering Problems Xinjie Fan Yuguang Yue Purnamrita Sarkar Y. X. R. Wang 26 2 0 17 Oct 2019
Parameter Optimization and Learning in a Spiking Neural Network for UAV Obstacle Avoidance targeting Neuromorphic Processors Llewyn Salt David Howard Giacomo Indiveri Yulia Sandamirskaya 12 43 0 17 Oct 2019
Go with the Flow: Perception-refined Physics Simulation Tom F. H. Runia Kirill Gavrilyuk Cees G. M. Snoek A. Smeulders 17 3 0 17 Oct 2019
The Renyi Gaussian Process: Towards Improved Generalization Xubo Yue Raed Al Kontar 112 3 0 15 Oct 2019
Comprehend Medical: a Named Entity Recognition and Relationship Extraction Web Service Parminder Bhatia B. Celikkaya Mohammed Khalilia Selvan Senthivel 36 54 0 15 Oct 2019
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization Maximilian Balandat Brian Karrer Daniel R. Jiang Sam Daulton Benjamin Letham A. Wilson E. Bakshy 32 93 0 14 Oct 2019
Introducing an Explicit Symplectic Integration Scheme for Riemannian Manifold Hamiltonian Monte Carlo Adam D. Cobb A. G. Baydin Andrew Markham Stephen J. Roberts 24 32 0 14 Oct 2019
Batch simulations and uncertainty quantification in Gaussian process surrogate approximate Bayesian computation Marko Jarvenpaa Aki Vehtari Pekka Marttinen 38 15 0 14 Oct 2019
Bayesian Optimization using Pseudo-Points Chao Qian Hang Xiong Ke Xue 28 15 0 12 Oct 2019
On Empirical Comparisons of Optimizers for Deep Learning Dami Choi Christopher J. Shallue Zachary Nado Jaehoon Lee Chris J. Maddison George E. Dahl 41 256 0 11 Oct 2019
Deep Learning for Prostate Pathology Okyaz Eminaga Y. Tolkach C. Kunder M. Abbas Ryan Han ... G. Sonn Richard E. Fan O. Bettendorf J. Brooks D. Rubin MedIm 33 0 0 11 Oct 2019
Black-box Optimizer with Implicit Natural Gradient Yueming Lyu Ivor W. Tsang 38 0 0 09 Oct 2019
Yet another but more efficient black-box adversarial attack: tiling and evolution strategies Laurent Meunier Cen Chen Li Wang MLAU AAML 33 40 0 05 Oct 2019
Scalable Global Optimization via Local Bayesian Optimization Samyam Rajbhandari Michael Pearce Jacob R. Gardner Ryan D. Turner Matthias Poloczek 51 452 0 03 Oct 2019
Generalized Inner Loop Meta-Learning Jaya Kumar Alageshan Brandon Amos A. Verma Phu Mon Htut Artem Molchanov Franziska Meier Douwe Kiela Kyunghyun Cho Soumith Chintala AI4CE 39 159 0 03 Oct 2019
Auto-Sizing the Transformer Network: Improving Speed, Efficiency, and Performance for Low-Resource Machine Translation Kenton W. Murray Jeffery Kinnison Toan Q. Nguyen Walter J. Scheirer David Chiang 25 21 0 01 Oct 2019
Black-box Adversarial Attacks with Bayesian Optimization Satya Narayan Shukla Anit Kumar Sahu Devin Willmott J. Zico Kolter AAML MLAU 14 30 0 30 Sep 2019
RandAugment: Practical automated data augmentation with a reduced search space E. D. Cubuk Barret Zoph Jonathon Shlens Quoc V. Le MQ 147 3,425 0 30 Sep 2019
Towards modular and programmable architecture search Renato M. P. Negrinho Darshan Patil Nghia T. Le Daniel C. Ferreira Matthew R. Gormley Geoffrey J. Gordon 27 26 0 30 Sep 2019
Learning search spaces for Bayesian optimization: Another view of hyperparameter transfer learning Valerio Perrone Huibin Shen Matthias Seeger Cédric Archambeau Rodolphe Jenatton 27 96 0 27 Sep 2019
Stochastic Weight Matrix-based Regularization Methods for Deep Neural Networks Patrik Reizinger Bálint Gyires-Tóth 29 2 0 26 Sep 2019
Synthetic dataset generation for object-to-model deep learning in industrial applications Matthew Z. Wong Kiyohito Kunii Max Baylis Wai Hong Ong P. Kroupa Swen Koller 22 33 0 24 Sep 2019
Compiler-Level Matrix Multiplication Optimization for Deep Learning Huaqing Zhang Xiaolin Cheng H. Zang Dae Hoon Park 14 8 0 23 Sep 2019
Bayesian Optimization for Iterative Learning Vu-Linh Nguyen Sebastian Schulze Michael A. Osborne BDL 16 32 0 20 Sep 2019
Genetic Neural Architecture Search for automatic assessment of human sperm images Erfan Miahi Seyed Abolghasem Mirroshandel Alexis Nasr 19 29 0 20 Sep 2019
Deep Complex Networks for Protocol-Agnostic Radio Frequency Device Fingerprinting in the Wild Ioannis Agadakos Nikolaos Agadakos Jason Polakis Mohamed R. Amer 27 18 0 18 Sep 2019
Environmental Hotspot Identification in Limited Time with a UAV Equipped with a Downward-Facing Camera Yoonchang Sung D. Dixit Pratap Tokekar 7 7 0 18 Sep 2019
Bifurcation Spiking Neural Network Shao-Qun Zhang Zhao-Yu Zhang Zhi-Hua Zhou 27 8 0 18 Sep 2019
Efficient Transfer Bayesian Optimization with Auxiliary Information Tomoharu Iwata Takuma Otsuka 33 2 0 17 Sep 2019
Regularized deep learning with nonconvex penalties Sujit Vettam Majnu John 27 5 0 11 Sep 2019
Surrogate-based Optimization using Mutual Information for Computer Experiments (optim-MICE) Theodoros Mathikolonis S. Guillas 14 3 0 10 Sep 2019
BINOCULARS for Efficient, Nonmyopic Sequential Experimental Design Shali Jiang Henry Chai Javier I. González Roman Garnett OffRL 32 49 0 10 Sep 2019
LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series with Multiple Seasonal Patterns Kasun Bandara Christoph Bergmeir Hansika Hewamalage AI4TS 22 138 0 10 Sep 2019
BOSH: An Efficient Meta Algorithm for Decision-based Attacks Zhenxin Xiao Puyudi Yang Yuchen Eleanor Jiang Kai-Wei Chang Cho-Jui Hsieh AAML 24 1 0 10 Sep 2019