Krzysztof M Choromanski
14 papers · 2013–2023 · 1 conference · across top CS/AI conferences
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Keyword Pioneer
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Academic Marathon
(10)
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(8)
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(14)
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Keyword Collector
(75)
Conferences
NIPS (14)
Top co-authors
Research topics
Keywords
kernel approximation
(5)
reinforcement learning
(2)
softmax kernel
(2)
variance reduction
(2)
gaussian kernel
(2)
random feature
(2)
sampling algorithm
(2)
orthogonal matrix
(2)
compressed sensing
(2)
blackbox optimization
(2)
neural network optimization
(2)
sample efficiency
(1)
utility optimization
(1)
random walk
(1)
structured matrix
(1)
privacy preservation
(1)
kernel regression
(1)
optimal transport
(1)
monte carlo sampling
(1)
policy optimization
(1)
Papers
Mnemosyne: Learning to Train Transformers with Transformers
NIPS 2023
Quasi-Monte Carlo Graph Random Features
NIPS 2023
Dense-Exponential Random Features: Sharp Positive Estimators of the Gaussian Kernel
NIPS 2023
Chefs' Random Tables: Non-Trigonometric Random Features
NIPS 2022
Sub-Linear Memory: How to Make Performers SLiM
NIPS 2021
Demystifying Orthogonal Monte Carlo and Beyond
NIPS 2020
Ode to an ODE
NIPS 2020
Effective Diversity in Population Based Reinforcement Learning
NIPS 2020
From Complexity to Simplicity: Adaptive ES-Active Subspaces for Blackbox Optimization
NIPS 2019
Geometrically Coupled Monte Carlo Sampling
NIPS 2018
The Unreasonable Effectiveness of Structured Random Orthogonal Embeddings
NIPS 2017
On Blackbox Backpropagation and Jacobian Sensing
NIPS 2017
Orthogonal Random Features
NIPS 2016
Adaptive Anonymity via $b$-Matching
NIPS 2013