conftrace_
← Optimization & Theory
Machine Learning › Optimization & Theory ›

Learning Theory

5,312 papers

Papers per year

Papers

An Exact Symbolic Reduction of Linear Smart Predict+Optimize to Mixed Integer Linear Programming ICML 2022
On Finite-Sample Identifiability of Contrastive Learning-Based Nonlinear Independent Component Analysis ICML 2022
Optimal Binary Classification Beyond Accuracy NIPS 2022
What is a Good Metric to Study Generalization of Minimax Learners? NIPS 2022
Information Discrepancy in Strategic Learning ICML 2022
Non-Vacuous Generalisation Bounds for Shallow Neural Networks ICML 2022
Assessing Combinational Generalization of Language Models in Biased Scenarios AACL 2022
Mean-field Analysis of Piecewise Linear Solutions for Wide ReLU Networks JMLR 2022
On the power of adaptivity in statistical adversaries COLT 2022
PDE-Based Optimal Strategy for Unconstrained Online Learning ICML 2022
Nonstochastic Bandits with Composite Anonymous Feedback JMLR 2022
BEHAVIOR-1K: A Benchmark for Embodied AI with 1,000 Everyday Activities and Realistic Simulation CORL 2022
Monotone Learning COLT 2022
Bridging the Gap between Reality and Ideality of Entity Matching: A Revisiting and Benchmark Re-Construction IJCAI 2022
Recovery and Generalization in Over-Realized Dictionary Learning JMLR 2022
Task Discovery: Finding the Tasks that Neural Networks Generalize on NIPS 2022
LyaNet: A Lyapunov Framework for Training Neural ODEs ICML 2022
On the Sample Complexity of Learning Infinite-horizon Discounted Linear Kernel MDPs ICML 2022
Stabilizing Q-learning with Linear Architectures for Provable Efficient Learning ICML 2022
Minimax Optimal Algorithms for Fixed-Budget Best Arm Identification NIPS 2022
Sparse Mixed Linear Regression with Guarantees: Taming an Intractable Problem with Invex Relaxation ICML 2022
Frontiers and Exact Learning of ELI Queries under DL-Lite Ontologies IJCAI 2022
A Closer Look at Prototype Classifier for Few-shot Image Classification NIPS 2022
End-to-end Algorithm Synthesis with Recurrent Networks: Extrapolation without Overthinking NIPS 2022
Towards Understanding the Mixture-of-Experts Layer in Deep Learning NIPS 2022