Jasper Snoek
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
2025/07/07 by Gheorghe Comanici, Eric Bieber, Comanici, Gheorghe +6844 · 8 voices · 1374 citations
#cs.CL #cs.AI
- Scalable Bayesian Optimization Using Deep Neural Networks
2015/02/19 by Jasper Snoek, Oren Rippel, Snoek, Jasper +15 · 2 voices · 51 citations
Computer Science · #Advanced Multi-Objective Optimization Algorithms #Gaussian Processes and Bayesian Inference #Machine Learning and Data Classification #stat.ML
- Practical Bayesian Optimization of Machine Learning Algorithms
2012/06/13 by Jasper Snoek, Snoek, Jasper, Hugo Larochelle +3 · 337 citations
Computer Science · #Gaussian Processes and Bayesian Inference #Machine Learning and Algorithms #Machine Learning and Data Classification
- Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift
2019/06/06 by Yaniv Ovadia, Emily Fertig, Ovadia, Yaniv +15 · 116 citations
Computer Science · #Adversarial Robustness in Machine Learning #Gaussian Processes and Bayesian Inference #Anomaly Detection Techniques and Applications
- Spectral Representations for Convolutional Neural Networks
2015/06/11 by Oren Rippel, Rippel, Oren, Jasper Snoek +3 · 1 voice · 10 citations
#stat.ML #cs.LG
- Training independent subnetworks for robust prediction
2020/10/13 by Marton Havasi, Havasi, Marton, Rodolphe Jenatton +13 · 2 voices · 9 citations
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #cs.CV #cs.LG #stat.ML
- Likelihood Ratios for Out-of-Distribution Detection
2019/06/07 by Jie Ren, Peter J. Liu, Ren, Jie +13 · 23 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Genomics and Phylogenetic Studies #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Bioinformatics
- Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models
2023/12/11 by Avi Singh, John D. Co-Reyes, Singh, Avi +76 · 38 citations
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Natural Language Processing Techniques #Topic Modeling
- How Good is the Bayes Posterior in Deep Neural Networks Really?
2020/02/06 by Florian Wenzel, Kevin A. Roth, Wenzel, Florian +17 · 15 citations
Computer Science · #Gaussian Processes and Bayesian Inference #Adversarial Robustness in Machine Learning #Machine Learning and Algorithms
- Input Warping for Bayesian Optimization of Non-stationary Functions
2014/02/05 by Jasper Snoek, Snoek, Jasper, Kevin Swersky +5 · 9 citations
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 Data Classification
- Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors
2020/05/14 by Michael W. Dusenberry, Ghassen Jerfel, Dusenberry, Michael W. +13 · 15 citations
Computer Science · #Adversarial Robustness in Machine Learning #Advanced Neural Network Applications #Anomaly Detection Techniques and Applications
- Freeze-Thaw Bayesian Optimization
2014/06/16 by Kevin Swersky, Swersky, Kevin, Jasper Snoek +3 · 8 citations
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 Data Classification
- Hyperparameter Ensembles for Robustness and Uncertainty Quantification
2020/06/24 by Florian Wenzel, Wenzel, Florian, Jasper Snoek +5 · 9 citations
Computer 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 and Data Classification
- Gemini: A Family of Highly Capable Multimodal Models
2023/12/19 by Rohan Anil, Gemini Team, Anil, Rohan +2682 · 9 voices
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #cs.AI #cs.CL #cs.CV
- Variational Bayesian Last Layers
2024/04/17 by J. Harrison, John Willes, Harrison, James +3 · 14 citations
Computer Science · #Adversarial Robustness in Machine Learning #Generative Adversarial Networks and Image Synthesis #Gaussian Processes and Bayesian Inference
- Plex: Towards Reliability using Pretrained Large Model Extensions
2022/07/15 by Dustin Tran, Jeremiah Liu, Tran, Dustin +49 · 7 citations
Computer Science · #Multimodal Machine Learning Applications #Topic Modeling #Domain Adaptation and Few-Shot Learning
- Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning
2021/06/07 by Zachary Nado, Nado, Zachary, Neil Band +49 · 5 citations
Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
- A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness
2022/05/01 by Jeremiah Zhe Liu, Liu, Jeremiah Zhe, Shreyas Padhy +17 · 5 citations
Computer Science · Engineering · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Fault Detection and Control Systems #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling
2018/02/25 by Carlos Riquelme, Riquelme, Carlos, George Tucker +3 · 3 citations
Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Data Stream Mining Techniques #Gaussian Processes and Bayesian Inference
- The k-tied Normal Distribution: A Compact Parameterization of Gaussian\n Mean Field Posteriors in Bayesian Neural Networks
2020/02/07 by Jakub Świątkowski, Swiatkowski, Jakub, Kevin A. Roth +17 · 5 citations
Computer Science · #Bayesian Methods and Mixture Models #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Bayesian Optimization via Continual Variational Last Layer Training
2024/12/12 by Paul Brunzema, Mikkel Jordahn, Brunzema, Paul +9 · 5 citations
Computer Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Target Tracking and Data Fusion in Sensor Networks
- Combining Ensembles and Data Augmentation can Harm your Calibration
2020/10/19 by Yeming Wen, Wen, Yeming, Ghassen Jerfel +11 · 1 citation
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- A Spectral Energy Distance for Parallel Speech Synthesis
2020/08/03 by Alexey A. Gritsenko, Gritsenko, Alexey A., Tim Salimans +7 · 1 citation
Computer Science · #Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Music and Audio Processing #Sound (cs.SD) #Speech Recognition and Synthesis #Speech and Audio Processing #electronic engineering #information engineering