Ashish Khisti
11 papers · 2019–2024 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+2 more ↓ Show less ↑
π Interdisciplinary Bridge Β· Silver π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint πΊοΈ Taxonomy Completionist (25) π£ Hot Topic Early Bird
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(63)
Venues
Top co-authors
Research topics
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
Importance Matching Lemma for Lossy Compression with Side Information
AISTATS 2024
Minimum Entropy Coupling with Bottleneck
NeurIPS 2024
On the Generalization of Stochastic Gradient Descent with Momentum
JMLR 2024
Random Cycle Coding: Lossless Compression of Cluster Assignments via Bits-Back Coding
NeurIPS 2024
On the choice of Perception Loss Function for Learned Video Compression
NeurIPS 2023
Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding
ICML 2021
Universal Rate-Distortion-Perception Representations for Lossy Compression
NeurIPS 2021
Variational Model Inversion Attacks
NeurIPS 2021
Coded Sequential Matrix Multiplication For Straggler Mitigation
NeurIPS 2020
Sharpened Generalization Bounds based on Conditional Mutual Information and an Application to Noisy, Iterative Algorithms
NeurIPS 2020
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates
NeurIPS 2019