Adarsh Prasad
12 papers · 2014–2022 · 3 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 ↓+5 more ↓ Show less ↑
🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (34)
🗃️
Keyword Collector
(63)
📈
Trend Setter
💎
Century Club · Bronze
🔥
Unstoppable · Bronze
🌈
Renaissance Researcher
(5)
Venues
Top co-authors
Research topics
Machine Learning
(11)
Optimization & Theory
(9)
Core Methods
(6)
Learning Types
(5)
Mathematics & Optimization
(3)
Application Areas
(2)
Mathematics
(2)
Artificial Intelligence
(1)
Computer Science
(1)
Computer Vision
(1)
Deep Learning
(1)
Reinforcement Learning
(1)
Applications
(1)
Bayesian & Probabilistic
(1)
Core AI
(1)
Keywords
heavy-tailed distribution
(3)
graphical model
(2)
generative model
(2)
risk measure
(2)
high-dimensional estimation
(2)
high-dimensional statistics
(2)
robust estimation
(2)
robust statistics
(2)
logistic regression
(2)
uniform convergence
(1)
ising model
(1)
structured prediction
(1)
reinforcement learning
(1)
covariance estimation
(1)
exponential families
(1)
binary classification
(1)
statistical estimation
(1)
behavioral economics
(1)
linear discriminant analysis
(1)
gradient descent
(1)
Papers
Heavy-tailed Streaming Statistical Estimation
AISTATS 2022
On Proximal Policy Optimization’s Heavy-tailed Gradients
ICML 2021
A Robust Univariate Mean Estimator is All You Need
AISTATS 2020
On Learning Ising Models under Huber's Contamination Model
NeurIPS 2020
Uniform Convergence of Rank-weighted Learning
ICML 2020
On Human-Aligned Risk Minimization
NeurIPS 2019
Revisiting Adversarial Risk
AISTATS 2019
Connecting Optimization and Regularization Paths
NeurIPS 2018
On Separability of Loss Functions, and Revisiting Discriminative Vs Generative Models
NeurIPS 2017
Distributional Rank Aggregation, and an Axiomatic Analysis
ICML 2015
Fast Classification Rates for High-dimensional Gaussian Generative Models
NeurIPS 2015
Submodular meets Structured: Finding Diverse Subsets in Exponentially-Large Structured Item Sets
NeurIPS 2014