Ashish Khisti
11 papers · 2019–2024 · 4 conferences · across top CS/AI conferences
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Conferences
NIPS (8)
AISTATS (1)
ICML (1)
JMLR (1)
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Keywords
generalization bound
(3)
lossy compression
(3)
information theory
(3)
variational inference
(2)
mutual information
(2)
lossless compression
(2)
bits-back coding
(2)
optimal transport
(2)
distributed computing
(1)
image reconstruction
(1)
neural network training
(1)
deep learning
(1)
langevin dynamics
(1)
marginal likelihood
(1)
distributed learning
(1)
sample complexity
(1)
stochastic gradient descent
(1)
importance sampling
(1)
side information
(1)
monte carlo estimation
(1)
Papers
Minimum Entropy Coupling with Bottleneck
NIPS 2024
On the Generalization of Stochastic Gradient Descent with Momentum
JMLR 2024
Importance Matching Lemma for Lossy Compression with Side Information
AISTATS 2024
Random Cycle Coding: Lossless Compression of Cluster Assignments via Bits-Back Coding
NIPS 2024
On the choice of Perception Loss Function for Learned Video Compression
NIPS 2023
Universal Rate-Distortion-Perception Representations for Lossy Compression
NIPS 2021
Variational Model Inversion Attacks
NIPS 2021
Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding
ICML 2021
Coded Sequential Matrix Multiplication For Straggler Mitigation
NIPS 2020
Sharpened Generalization Bounds based on Conditional Mutual Information and an Application to Noisy, Iterative Algorithms
NIPS 2020
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates
NIPS 2019