Nishant Mehta
11 papers · 2012–2024 · 6 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 ↓+4 more ↓ Show less ↑
🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (34)
📈
Trend Setter
💎
Century Club · Bronze
🚀
Conference Pioneer
🗃️
Keyword Collector
(60)
Top co-authors
Research topics
Machine Learning
(9)
Optimization & Theory · Machine Learning
(8)
Artificial Intelligence
(5)
Mathematics & Optimization
(5)
Optimization
(5)
Core Methods
(4)
Learning Types · Machine Learning
(4)
Deep Learning
(3)
Core AI
(3)
Learning Types · Deep Learning
(3)
Learning Paradigms
(2)
Reinforcement Learning
(1)
Application Areas
(1)
Methods
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
regret bound
(6)
online learning
(5)
multi-armed bandit
(2)
stochastic optimization
(1)
multi-task learning
(1)
minimax optimization
(1)
adversarial learning
(1)
game theory
(1)
sparse representation
(1)
sequential decision making
(1)
sample complexity
(1)
task generalization
(1)
task clustering
(1)
empirical risk minimization
(1)
online convex optimization
(1)
transfer learning
(1)
stochastic reward
(1)
excess risk
(1)
exp-concave loss
(1)
representation learning
(1)
Papers
Near-optimal Per-Action Regret Bounds for Sleeping Bandits
AISTATS 2024
On the price of exact truthfulness in incentive-compatible online learning with bandit feedback: a regret lower bound for WSU-UX
AISTATS 2024
Adversarial Online Multi-Task Reinforcement Learning
ALT 2023
Best-case lower bounds in online learning
NeurIPS 2021
A Farewell to Arms: Sequential Reward Maximization on a Budget with a Giving Up Option
AISTATS 2020
Safe-Bayesian Generalized Linear Regression
AISTATS 2020
Interpreting Word-Level Hidden State Behaviour of Character-Level LSTM Language Models
EMNLP 2018
Fast rates with high probability in exp-concave statistical learning
AISTATS 2017
Generalized Mixability via Entropic Duality
COLT 2015
Sparsity-Based Generalization Bounds for Predictive Sparse Coding
ICML 2013
Minimax Multi-Task Learning and a Generalized Loss-Compositional Paradigm for MTL
NeurIPS 2012