Ayush Jain
29 papers · 2018–2026 · 13 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (7) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (11) π Cross-Pollinator (9)
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Unstoppable
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Conferences
ICML (10)
NIPS (5)
COLT (2)
CVPR (2)
ICLR (2)
AAAI (1)
ACL (1)
EACL (1)
ECCV (1)
EMNLP (1)
NAACL (1)
RSS (1)
UAI (1)
Top co-authors
Research topics
Keywords
sample complexity
(6)
reinforcement learning
(4)
robust estimation
(3)
distribution learning
(3)
batch learning
(3)
multi-task learning
(3)
density estimation
(2)
distribution estimation
(2)
robust learning
(2)
piecewise polynomial
(2)
linear regression
(2)
spectral algorithm
(2)
sentiment analysis
(1)
multi-source learning
(1)
variational inference
(1)
temporal difference learning
(1)
transformer architecture
(1)
black-box optimization
(1)
policy optimization
(1)
adversarial learning
(1)
Papers
Imbalanced Gradients in RL Post-Training of Multi-Task LLMs
EACL 2026
DeepResearch Retail: Benchmarking Tool-Augmented Deep Research in the E-Commerce Domain
ACL 2026
LOCATE 3D: Real-World Object Localization via Self-Supervised Learning in 3D
ICML 2025
QMP: Q-switch Mixture of Policies for Multi-Task Behavior Sharing
ICLR 2025
From Thousands to Billions: 3D Visual Language Grounding via Render-Supervised Distillation from 2D VLMs
ICML 2025
Unifying 2D and 3D Vision-Language Understanding
ICML 2025
ODIN: A Single Model for 2D and 3D Segmentation
CVPR 2024
Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous and Instruction-guided Driving
CVPR 2024
Linear Regression using Heterogeneous Data Batches
NIPS 2024
Scaling laws for learning with real and surrogate data
NIPS 2024
Efficient List-Decodable Regression using Batches
ICML 2023
Energy-based Models are Zero-Shot Planners for Compositional Scene Rearrangement
RSS 2023
Robust Estimation for Random Graphs
COLT 2022
The Price of Tolerance in Distribution Testing
COLT 2022
Bottom Up Top down Detection Transformers for Language Grounding in Images and Point Clouds
ECCV 2022
Know Your Action Set: Learning Action Relations for Reinforcement Learning
ICLR 2022
COGMEN: COntextualized GNN based Multimodal Emotion recognitioN
NAACL 2022
TURF: Two-Factor, Universal, Robust, Fast Distribution Learning Algorithm
ICML 2022
Scalable Deep Reinforcement Learning Algorithms for Mean Field Games
ICML 2022
Variance Penalized On-Policy and Off-Policy Actor-Critic
AAAI 2021
Subset-of-data variational inference for deep Gaussian-processes regression
UAI 2021
Robust Density Estimation from Batches: The Best Things in Life are (Nearly) Free
ICML 2021
Does Social Pressure Drive Persuasion in Online Fora?
EMNLP 2021
SURF: A Simple, Universal, Robust, Fast Distribution Learning Algorithm
NIPS 2020
Linear-Sample Learning of Low-Rank Distributions
NIPS 2020
A General Method for Robust Learning from Batches
NIPS 2020
Optimal Robust Learning of Discrete Distributions from Batches
ICML 2020
Generalization to New Actions in Reinforcement Learning
ICML 2020
The Limits of Maxing, Ranking, and Preference Learning
ICML 2018