← Authors

Krzysztof M Choromanski

14 papers · 2013–2023 · 1 conference · across top CS/AI conferences

Achievements

πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (9) 🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (32) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer πŸƒ Academic Marathon (10) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (8) πŸ’Ž Century Club (14) πŸ—ƒοΈ Keyword Collector (75)

Conferences

NIPS (14)

Top co-authors

Adrian Weller (7) Valerii Likhosherstov (4) Vikas Sindhwani (4) Aldo Pacchiano (3) Tamas Sarlos (3) Kumar Avinava Dubey (3) Jared Quincy Davis (2) Frederick Liu (2) Jack Parker-Holder (2) Mark Rowland (2)

Research topics

Privacy (1)

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