conftrace_
← Topics

Mathematics & Optimization

16,944 papers (0 classified directly here)

Subtopics

Optimization (12,959) Mathematics (5,735) Probability (519) Statistics (265) Discrete Mathematics (15)

Papers per year

1
23
162
566
1706
801
'00
'05
'10
'15
'20
'25

Papers (including subtopics)

Optimal Dynamic Regret in LQR Control NIPS 2022
Gradient Descent Is Optimal Under Lower Restricted Secant Inequality And Upper Error Bound NIPS 2022
Reduction Algorithms for Persistence Diagrams of Networks: CoralTDA and PrunIT NIPS 2022
Product Ranking for Revenue Maximization with Multiple Purchases NIPS 2022
Luckiness in Multiscale Online Learning NIPS 2022
Learning and Covering Sums of Independent Random Variables with Unbounded Support NIPS 2022
Discovery of Single Independent Latent Variable NIPS 2022
High-dimensional limit theorems for SGD: Effective dynamics and critical scaling NIPS 2022
Deep Attentive Belief Propagation: Integrating Reasoning and Learning for Solving Constraint Optimization Problems NIPS 2022
Decentralized Training of Foundation Models in Heterogeneous Environments NIPS 2022
Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations Among Team Members NIPS 2022
Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification NIPS 2022
DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems NIPS 2022
Confident Approximate Policy Iteration for Efficient Local Planning in $q^\pi$-realizable MDPs NIPS 2022
Finding Correlated Equilibrium of Constrained Markov Game: A Primal-Dual Approach NIPS 2022
NSNet: A General Neural Probabilistic Framework for Satisfiability Problems NIPS 2022
Perfect Sampling from Pairwise Comparisons NIPS 2022
Optimal Efficiency-Envy Trade-Off via Optimal Transport NIPS 2022
Online PAC-Bayes Learning NIPS 2022
Fast Algorithms for Packing Proportional Fairness and its Dual NIPS 2022
Branch & Learn for Recursively and Iteratively Solvable Problems in Predict+Optimize NIPS 2022
Rapidly Mixing Multiple-try Metropolis Algorithms for Model Selection Problems NIPS 2022
TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning NIPS 2022
Efficient Submodular Optimization under Noise: Local Search is Robust NIPS 2022
Chromatic Correlation Clustering, Revisited NIPS 2022