publication venue for
- Beyond normality: Learning sparse probabilistic graphical models in the non-Gaussian setting 2017
- LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment 2024
- YOUDREAM : Generating Anatomically Controllable Consistent Text-to-3D Animals 2024
- Train Faster, Perform Better: Modular Adaptive Training in Over-Parameterized Models 2023
- An Algorithm for Learning Switched Linear Dynamics from Data 2022
- Recursive Reinforcement Learning 2022
- Learning to Assimilate in Chaotic Dynamical Systems 2021
- Unifying Lower Bounds on Prediction Dimension of Consistent Convex Surrogates 2021
- Reasoning about Uncertainties in Discrete-Time Dynamical Systems using Polynomial Forms 2020
- An Embedding Framework for Consistent Polyhedral Surrogates 2019
- Equal Opportunity in Online Classification with Partial Feedback 2019
- Toward a Characterization of Loss Functions for Distribution Learning 2019
- A Smoothed Analysis of the Greedy Algorithm for the Linear Contextual Bandit Problem 2018
- Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer Learning 2018
- Bounded-Loss Private Prediction Markets 2018
- Local Differential Privacy for Evolving Data 2018
- Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch 2018
- Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding 2018
- Accuracy First: Selecting a Differential Privacy Level for Accuracy-Constrained ERM 2017
- Eliciting Categorical Data for Optimal Aggregation 2016
- A Market Framework for Eliciting Private Data 2015
- Convergence Analysis of Prediction Markets via Randomized Subspace Descent 2015
- Automatic Discovery of Cognitive Skills to Improve the Prediction of Student Learning 2014
- QUIC & DIRTY: A Quadratic Approximation Approach for Dirty Statistical Models 2014
- Time-Data Tradeoffs by Aggressive Smoothing 2014
- Online learning of non-stationary sequences 2003
- A rational analysis of cognitive control in a speeded discrimination task 2001
- Prodding the ROC curve: Constrained optimization of classifier performance 2001
- Beyond maximum likelihood and density estimation: A sample-based criterion for unsupervised learning of complex models 2000
- The interplay of symbolic and subsymbolic processes in anagram problem solving 2000
- Churn reduction in the wireless industry 1999
- A principle for unsupervised hierarchical decomposition of visual scenes 1998
- A superadditive-impairment theory of optic aphasia 1997
- Learning human-like knowledge by singular value decomposition: A progress report 1997
- The neurothermostat: Predictive optimal control of residential heating systems 1996
- Human and machine 'quick modelling' 1992