Rob Brekelmans

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 28

Top Topics

Gaussian Process

Sequential Monte Carlo

Variational Inference

Importance Sampling

Top Venues

Publications

Stephen Zhao, Rob Brekelmans, Alireza Makhzani, Roger B. Grosse
Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo. CoRR (2024)
Rob Brekelmans, Sicong Huang, Marzyeh Ghassemi, Greg Ver Steeg, Roger B. Grosse, Alireza Makhzani
Improving Mutual Information Estimation with Annealed and Energy-Based Bounds. CoRR (2023)
Xianghao Kong, Rob Brekelmans, Greg Ver Steeg
Information-Theoretic Diffusion. ICLR (2023)
Kirill Neklyudov, Rob Brekelmans, Daniel Severo, Alireza Makhzani
Action Matching: Learning Stochastic Dynamics from Samples. ICML (2023)
Kirill Neklyudov, Rob Brekelmans, Alexander Tong, Lazar Atanackovic, Qiang Liu, Alireza Makhzani
A Computational Framework for Solving Wasserstein Lagrangian Flows. CoRR (2023)
Xianghao Kong, Rob Brekelmans, Greg Ver Steeg
Information-Theoretic Diffusion. CoRR (2023)
Rob Brekelmans, Tim Genewein, Jordi Grau-Moya, Gregoire Detetang, Markus Kunesch, Shane Legg, Pedro A. Ortega
Your Policy Regularizer is Secretly an Adversary. Trans. Mach. Learn. Res. 2022 (2022)
Rob Brekelmans, Tim Genewein, Jordi Grau-Moya, Grégoire Delétang, Markus Kunesch, Shane Legg, Pedro A. Ortega
Your Policy Regularizer is Secretly an Adversary. CoRR (2022)
Rob Brekelmans, Sicong Huang, Marzyeh Ghassemi, Greg Ver Steeg, Roger Baker Grosse, Alireza Makhzani
Improving Mutual Information Estimation with Annealed and Energy-Based Bounds. ICLR (2022)
Rob Brekelmans, Frank Nielsen
Rho-Tau Bregman Information and the Geometry of Annealing Paths. CoRR (2022)
Vaden Masrani, Rob Brekelmans, Thang Bui, Frank Nielsen, Aram Galstyan, Greg Ver Steeg, Frank Wood
q-Paths: Generalizing the Geometric Annealing Path using Power Means. CoRR (2021)
Grégoire Delétang, Jordi Grau-Moya, Markus Kunesch, Tim Genewein, Rob Brekelmans, Shane Legg, Pedro A. Ortega
Model-Free Risk-Sensitive Reinforcement Learning. CoRR (2021)
Vaden Masrani, Rob Brekelmans, Thang Bui, Frank Nielsen, Aram Galstyan, Greg Ver Steeg, Frank Wood
q-Paths: Generalizing the geometric annealing path using power means. UAI (2021)
Rob Brekelmans, Vaden Masrani, Thang Bui, Frank Wood, Aram Galstyan, Greg Ver Steeg, Frank Nielsen
Annealed Importance Sampling with q-Paths. CoRR (2020)
Rob Brekelmans, Frank Nielsen, Alireza Makhzani, Aram Galstyan, Greg Ver Steeg
Likelihood Ratio Exponential Families. CoRR (2020)
Vu Nguyen, Vaden Masrani, Rob Brekelmans, Michael A. Osborne, Frank Wood
Gaussian Process Bandit Optimization of the Thermodynamic Variational Objective. NeurIPS (2020)
Rob Brekelmans, Vaden Masrani, Frank Wood, Greg Ver Steeg, Aram Galstyan
All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference. CoRR (2020)
Rob Brekelmans, Vaden Masrani, Frank Wood, Greg Ver Steeg, Aram Galstyan
All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference. ICML (2020)
Vu Nguyen, Vaden Masrani, Rob Brekelmans, Michael A. Osborne, Frank Wood
Gaussian Process Bandit Optimization of theThermodynamic Variational Objective. CoRR (2020)
Rob Brekelmans, Daniel Moyer, Aram Galstyan, Greg Ver Steeg
Exact Rate-Distortion in Autoencoders via Echo Noise. CoRR (2019)
Shuyang Gao, Rob Brekelmans, Greg Ver Steeg, Aram Galstyan
Auto-Encoding Total Correlation Explanation. AISTATS (2019)
Rob Brekelmans, Daniel Moyer, Aram Galstyan, Greg Ver Steeg
Exact Rate-Distortion in Autoencoders via Echo Noise. NeurIPS (2019)
Ayush Jaiswal, Rob Brekelmans, Daniel Moyer, Greg Ver Steeg, Wael AbdAlmageed, Premkumar Natarajan
Discovery and Separation of Features for Invariant Representation Learning. CoRR (2019)
Daniel Moyer, Shuyang Gao, Rob Brekelmans, Aram Galstyan, Greg Ver Steeg
Invariant Representations without Adversarial Training. NeurIPS (2018)
Shuyang Gao, Rob Brekelmans, Greg Ver Steeg, Aram Galstyan
Auto-Encoding Total Correlation Explanation. CoRR (2018)
Daniel Moyer, Shuyang Gao, Rob Brekelmans, Greg Ver Steeg, Aram Galstyan
Evading the Adversary in Invariant Representation. CoRR (2018)
Greg Ver Steeg, Rob Brekelmans, Hrayr Harutyunyan, Aram Galstyan
Disentangled Representations via Synergy Minimization. CoRR (2017)
Greg Ver Steeg, Rob Brekelmans, Hrayr Harutyunyan, Aram Galstyan
Disentangled representations via synergy minimization. Allerton (2017)