Jason Pacheco
15 papers · 2012–2026 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (33) π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Grand Slam
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Keyword Champion
ποΈ
Keyword Collector
(74)
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Trend Setter
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Century Club Β· Bronze
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Renaissance Researcher
(5)
Top co-authors
Research topics
Machine Learning
(14)
Optimization & Theory
(13)
Artificial Intelligence
(7)
Core AI
(5)
Core Methods
(5)
Mathematics & Optimization
(4)
Learning Types
(4)
Bayesian & Probabilistic Β· Machine Learning
(3)
Bayesian & Probabilistic Β· Artificial Intelligence
(3)
Optimization
(3)
Computer Vision
(2)
Deep Learning
(2)
Reinforcement Learning
(2)
Methods
(2)
Healthcare & Medicine
(1)
Keywords
variational inference
(6)
mutual information
(5)
graphical model
(3)
belief propagation
(2)
gaussian mixture model
(2)
message passing
(2)
entropic risk measure
(2)
risk-sensitive reinforcement learning
(2)
bayesian nonparametrics
(1)
sequential decision making
(1)
stochastic gradient descent
(1)
likelihood-free inference
(1)
mode estimation
(1)
human pose estimation
(1)
causal inference
(1)
policy gradient
(1)
neural decoding
(1)
marginal estimation
(1)
optimal control
(1)
map inference
(1)
Papers
Risk-Sensitive Exponential Actor Critic
AAAI 2026
Flow-based Variational Mutual Information: Fast and Flexible Approximations
ICLR 2025
Risk-Sensitive Variational Actor-Critic: A Model-Based Approach
ICLR 2025
Differentially Private Stochastic Gradient Descent with Fixed-Size Minibatches: Tighter RDP Guarantees with or without Replacement
NeurIPS 2024
Efficient Variational Sequential Information Control
AISTATS 2024
Fast Variational Estimation of Mutual Information for Implicit and Explicit Likelihood Models
AISTATS 2023
On Convergence of Polynomial Approximations to the Gaussian Mixture Entropy
NeurIPS 2023
Nonparametric Object and Parts Modeling With Lie Group Dynamics
CVPR 2020
Sequential Bayesian Experimental Design with Variable Cost Structure
NeurIPS 2020
Variational Information Planning for Sequential Decision Making
AISTATS 2019
A Robust Approach to Sequential Information Theoretic Planning
ICML 2018
Multiscale Semi-Markov Dynamics for Intracortical Brain-Computer Interfaces
NeurIPS 2017
Proteins, Particles, and Pseudo-Max-Marginals: A Submodular Approach
ICML 2015
Preserving Modes and Messages via Diverse Particle Selection
ICML 2014
Minimization of Continuous Bethe Approximations: A Positive Variation
NeurIPS 2012