David Bindel
15 papers · 2015–2025 · 7 conferences · across top CS/AI conferences
Achievements
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🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (7) 🏃 Academic Marathon (10) 🐝 Cross-Pollinator (10)
🌉
Interdisciplinary Bridge
🌍
Conference Polyglot
(7)
🏃
Academic Marathon
(10)
💎
Century Club
(15)
📈
Trend Setter
🗃️
Keyword Collector
(70)
🔥
Unstoppable
(5)
Conferences
NIPS (6)
ICML (3)
AISTATS (2)
CVPR (1)
EMNLP (1)
IJCNLP (1)
UAI (1)
Top co-authors
Keywords
gaussian process
(6)
bayesian optimization
(4)
variational inference
(2)
latent topic analysis
(2)
kernel learning
(2)
matrix factorization
(2)
spectral algorithm
(2)
topic inference
(2)
topic modeling
(2)
anchor word
(2)
spectral topic model
(2)
global optimization
(1)
bayesian inference
(1)
gaussian process regression
(1)
dimensionality reduction
(1)
rotation averaging
(1)
manifold optimization
(1)
path planning
(1)
spectral analysis
(1)
bayesian reinforcement learning
(1)
Papers
Stochastic Poisson Surface Reconstruction with One Solve using Geometric Gaussian Processes
ICML 2025
Variational Gaussian Processes with Decoupled Conditionals
NIPS 2023
Surveillance Evasion Through Bayesian Reinforcement Learning
AISTATS 2023
On-the-fly Rectification for Robust Large-Vocabulary Topic Inference
ICML 2021
Scaling Gaussian Processes with Derivative Information Using Variational Inference
NIPS 2021
Efficient Rollout Strategies for Bayesian Optimization
UAI 2020
Prior-aware Composition Inference for Spectral Topic Models
AISTATS 2020
On the Distribution of Minima in Intrinsic-Metric Rotation Averaging
CVPR 2020
Randomly Projected Additive Gaussian Processes for Regression
ICML 2020
Practical Correlated Topic Modeling and Analysis via the Rectified Anchor Word Algorithm
EMNLP 2019
Practical Correlated Topic Modeling and Analysis via the Rectified Anchor Word Algorithm
IJCNLP 2019
GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration
NIPS 2018
Scaling Gaussian Process Regression with Derivatives
NIPS 2018
Scalable Log Determinants for Gaussian Process Kernel Learning
NIPS 2017
Robust Spectral Inference for Joint Stochastic Matrix Factorization
NIPS 2015