Benjamin Recht
44 papers · 2007–2025 · 11 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (17) π§ Keyword Pioneer π Renaissance Researcher (7) π Interdisciplinary Bridge π£ Hot Topic Early Bird
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Conference Polyglot
(11)
πΊοΈ
Taxonomy Completionist
(17)
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Cross-Pollinator
(5)
π±
Topic Pioneer
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Keyword Champion
(2)
ποΈ
Keyword Collector
(56)
π
Century Club
(44)
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Trend Setter
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Conference Pioneer
π₯
Unstoppable
(9)
β‘
Prolific Year
(7)
β
The Questioner
(2)
Conferences
NIPS (13)
ICML (9)
COLT (7)
JMLR (6)
CVPR (2)
L4DC (2)
AISTATS (1)
CORL (1)
ICCV (1)
NAACL (1)
NSDI (1)
Top co-authors
Keywords
sample complexity
(6)
linear quadratic regulator
(5)
stochastic gradient descent
(4)
regret bound
(3)
autonomous vehicle
(3)
image classification
(3)
system identification
(3)
linear dynamical system
(3)
distribution shift
(3)
optimal control
(3)
reinforcement learning
(2)
policy evaluation
(2)
generalization bound
(2)
random feature
(2)
pure exploration
(2)
sparse optimization
(2)
benchmark evaluation
(2)
kernel approximation
(2)
continuous control
(2)
multi-armed bandit
(2)
Papers
From Individual Experience to Collective Evidence: A Reporting-Based Framework for Identifying Systemic Harms
ICML 2025
Interpolating Classifiers Make Few Mistakes
JMLR 2023
K-Planes: Explicit Radiance Fields in Space, Time, and Appearance
CVPR 2023
Plenoxels: Radiance Fields Without Neural Networks
CVPR 2022
Active Learning for Nonlinear System Identification with Guarantees
JMLR 2022
Certainty Equivalent Perception-Based Control
L4DC 2021
Representation Matters: Assessing the Importance of Subgroup Allocations in Training Data
ICML 2021
Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability
ICML 2021
Do Image Classifiers Generalize Across Time?
ICCV 2021
Evaluating Machine Accuracy on ImageNet
ICML 2020
The Effect of Natural Distribution Shift on Question Answering Models
ICML 2020
Robust Guarantees for Perception-Based Control
L4DC 2020
Measuring Robustness to Natural Distribution Shifts in Image Classification
NIPS 2020
Guaranteeing Safety of Learned Perception Modules via Measurement-Robust Control Barrier Functions
CORL 2020
Post-Estimation Smoothing: A Simple Baseline for Learning with Side Information
AISTATS 2020
Neural Kernels Without Tangents
ICML 2020
Do ImageNet Classifiers Generalize to ImageNet?
ICML 2019
Model Similarity Mitigates Test Set Overuse
NIPS 2019
Certainty Equivalence is Efficient for Linear Quadratic Control
NIPS 2019
Finite-time Analysis of Approximate Policy Iteration for the Linear Quadratic Regulator
NIPS 2019
A Meta-Analysis of Overfitting in Machine Learning
NIPS 2019
Learning Linear Dynamical Systems with Semi-Parametric Least Squares
COLT 2019
The Gap Between Model-Based and Model-Free Methods on the Linear Quadratic Regulator: An Asymptotic Viewpoint
COLT 2019
Towards augmenting crisis counselor training by improving message retrieval
NAACL 2019
Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator
NIPS 2018
Simple random search of static linear policies is competitive for reinforcement learning
NIPS 2018
Least-Squares Temporal Difference Learning for the Linear Quadratic Regulator
ICML 2018
Learning Without Mixing: Towards A Sharp Analysis of Linear System Identification
COLT 2018
Gradient Descent Learns Linear Dynamical Systems
JMLR 2018
Saturating Splines and Feature Selection
JMLR 2018
The Simulator: Understanding Adaptive Sampling in the Moderate-Confidence Regime
COLT 2017
Breaking Locality Accelerates Block Gauss-Seidel
ICML 2017
The Marginal Value of Adaptive Gradient Methods in Machine Learning
NIPS 2017
Ernest: Efficient Performance Prediction for Large-Scale Advanced Analytics
NSDI 2016
Gradient Descent Only Converges to Minimizers
COLT 2016
Best-of-K-bandits
COLT 2016
The Power of Adaptivity in Identifying Statistical Alternatives
NIPS 2016
Parallel Correlation Clustering on Big Graphs
NIPS 2015
The Randomized Causation Coefficient
JMLR 2015
Toward a Noncommutative Arithmetic-geometric Mean Inequality: Conjectures, Case-studies, and Consequences
COLT 2012
Hogwild!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent
NIPS 2011
A Simpler Approach to Matrix Completion
JMLR 2011
Weighted Sums of Random Kitchen Sinks: Replacing minimization with randomization in learning
NIPS 2008
Random Features for Large-Scale Kernel Machines
NIPS 2007